1.0

oci-ods-aqua Stack - v1.0

What's Changed

• Tf upgrade and fixes by @jrgauthier01 in #2
• Upgrade Tensorflow in speech-commands requirements.txt by @rnahar25 in #6
• Review: Directory Re-org by @rnahar25 in #7
• Review: Updating readme files by @rnahar25 in #9
• Review: Adding model deploy examples by @rnahar25 in #10
• Review: removing record_latency references by @rnahar25 in #11
• Review: Adding ADS and conda specific notebooks to Github by @rnahar25 in #12
• Review: Remove getting started and rename pack folders by @rnahar25 in #13
• Review: Create Knowledge Base Folder and add file on NAT gateway configuration by @rnahar25 in #14
• Update README.md by @rnahar25 in #15
• Update article 001 by @johnpeach in #16
• Added boilerplate model artifact template and renamed the directory by @shail2612 in #17
• refactoring README by @shail2612 in #18
• added artifact template details in README by @shail2612 in #19
• Review: rename conda to Data Science Conda Environment by @rnahar25 in #20
• Increasing introspection test coverage by @shail2612 in #22
• modifying zip to include latest introspection tool changes by @shail2612 in #23
• Release 2021 07 15 by @johnpeach in #26
• Release 2021 07 15 by @rnahar25 in #27
• Added Python version check by @shail2612 in #28
• Proofread README.md files and rename some directories by @johnpeach in #29
• Release 2021 08 02 by @shail2612 in #30
• Release 2021 08 03 by @shail2612 in #31
• Release 2021 08 06 by @shail2612 in #32
• Release 2021 08 09 by @shail2612 in #33
• templates updated by @shail2612 in #34
• added notebook by @shail2612 in #35
• added notebooks by @shail2612 in #36
• Jobs Samples by @lyudmil-pelov in #37
• cleaning up notebooks by @jrgauthier01 in #38
• Model fixes and readme by @zhang587 in #39
• Improve readme markups by @zhang587 in #41
• Ml Summit 2021 Workshop by @jrgauthier01 in #44
• Dsgo markdown by @wprichard in #42
• Updating procedures by @wprichard in #45
• Dsgo image redactions for PII by @wprichard in #46
• image and formatting updates by @wprichard in #47
• image update by @wprichard in #48
• merging dsgo branch with D by @wprichard in #49
• updating boilerplate templates and introspection tool by @shail2612 in #50
• updated artifact_boilerplate by @shail2612 in #51
• Adding Job, New TF2.7 conda and ads v2.5.6 by @jrgauthier01 in #52
• Setting auth to resource_principal for ads by @jrgauthier01 in #54
• • bump the OCI SDK version by @lyudmil-pelov in #53
• Piday by @wprichard in #55
• Labs 0, 1 by @wprichard in #56
• Updates for Lab 4 by @MarkHeff in #57
• Update Lab-2-analyze-vision.md by @SimpsonsFan in #59
• updated task 1 and task 2. by @jayhardikar in #60
• Initial REST API Updates by @MarkHeff in #61
• Updates for Lab 3 and 5 by @MarkHeff in #63
• Update python script to remove 90 second wait by @MarkHeff in #64
• Update Lab-2-analyze-vision.md by @SimpsonsFan in #65
• Lab 4 updates by @MarkHeff in #66
• Delete temp file by @MarkHeff in #67
• Update formatting by @MarkHeff in #68
• Update Lab-2-analyze-vision.md by @SimpsonsFan in #69
• Update Lab-2-analyze-vision.md by @SimpsonsFan in #71
• Update Lab-2-analyze-vision.md by @SimpsonsFan in #70
• Updates to Labs 0, 1, 2 by @MarkHeff in #72
• Updates for Lab 5 and Lab 4 Mac commands by @MarkHeff in #73
• Piday by @wprichard in #74
• Fix Links by @MarkHeff in #75
• Update Lab 5 link and a few titles by @MarkHeff in #76
• Parquet example by @jrgauthier01 in #77
• Added bulk labeling script to data labeling service samples by @ananya2812 in #79
• Update Lab-5-custom-model.md by @YanirShahak in #78
• Fix Bugs in Python Script for Helmet Detection by @MarkHeff in #81
• added python bulk labeling script by @puneetmittal399 in #80
• Updated Readme + Added compiled jar + Modified code to support overri… by @ananya2812 in #82
• Added support for bulk labeling bounding box type annotation by @puneetmittal399 in #83
• Added dls section in Readme + modified folder structure in bulk labeling by @puneetmittal399 in #84
• Add job monitor. by @qiuosier in #85
• Update README and remove unused code in job monitor by @qiuosier in #86
• Updates for OU DS cert by @wprichard in #87
• Update jobs samples by @lyudmil-pelov in #88
• Adding DataFlow and DataIntegration Examples for OCASAD Data Preprocessing by @akshat1145 in #89
• placeholder folder for distributed training example notebooks by @darenr in #108
• Dist training by @darenr in #109
• Dist training by @darenr in #110
• Adding more OCASAD Data Preprocessing examples by @akshat1145 in #113
• Add more OCI DF and DI samples for common OCASAD Preprocessing tasks by @bug-catcher in #111
• OCI Data Flow samples for OCASAD Data Processing by @shwanashrafi in #112
• add horovod artifacts for distributed training by @darenr in #116
• Added jupyter notebook samples for Horovod distributed training by @puneetmittal399 in #115
• Distributed training by @qiuosier in #118
• DF policy setup / More datasets / Readme enhancement by @shwanashrafi in #119
• updated tar files and modified notebook samples for horovod distributed framework by @puneetmittal399 in #120
• Reword the description in the AD samples folder. Fix broken links by @bug-catcher in #117
• Added min/max/first operations to Sliding Window Aggregation by @bug-catcher in #121
• Add remove unnecessary column example by @shujchen-oracle in #122
• updated horovod tar files by @puneetmittal399 in #124
• Fix typo inside input parameter by @shujchen-oracle in #125
• Update pytorch_v1.tar.gz to remove extra file. by @qiuosier in #127
• Update pytorch_v1.tar.gz by @qiuosier in #128
• • extend the job monitoring tool by @lyudmil-pelov in #129
• Job monitor refresh by @qiuosier in #131
• Modularization of required modules by @shujchen-oracle in #130
• Fix formatting issues in AD Preprocessing README by @bug-catcher in #126
• Update 1-model-training.ipynb by @wprichard in #133
• Update 1.5-(optional)-model-training-jobs.ipynb by @wprichard in #134
• Update 2-model-deployment.ipynb by @wprichard in #135
• Example of DataFlow workflow in DataScience Notebook / Fraud Detection by @streamnsight in #136
• Update README.md by @mayoor in #137
• Update pytorch_v1.tar.gz to require oracle-ads>=2.6.2 by @qiuosier in #138
• AD Preprocessing Samples: added sample for moving columns by @bug-catcher in #132
• Dask: Certificate support. Protobuf version fix. by @mayoor in #141
• Updated Readme and clean up options on startup by @mayoor in #142
• updated horovod tar files by @puneetmittal399 in #143
• Added the word example by @socalrug in #144
• fix typos, edits as per review by @streamnsight in #140
• AD Preprocessing Samples: add example with Events and Functions triggering a DataFlow by @bug-catcher in #139
• Updated Readme for Dask by @mayoor in #145
• Update pytorch_v1.tar.gz to add readme file. by @qiuosier in #146
• Distributed Training: added READMES by @ranjeetkgupta in #148
• Add onnxconverter-common install to fix import issues by @jasper-schneider in #149
• Horovod tars for OCI__PROFILE, readme, sync message by @jayatijain in #150
• Job monitor by @qiuosier in #154
• Job monitor by @qiuosier in #155
• Healthcare use-case demos by @streamnsight in #156
• Fix Content links + README by @streamnsight in #157
• Documentation for Tensorboard by @jayatijain in #158
• Sample solution for autoscaling OCI Data Science Model Deployments by @tsikiksr in #159
• Add model_deploy_examples by @hdhulipala02 in #153
• AD Preprocessing Samples: add parquet example by @bug-catcher in #147
• Fix links by @tsikiksr in #160
• refreshed DT tar files by @ranjeetkgupta in #161
• Update pytorch_v1.tar.gz by @qiuosier in #162
• Edit_RandomForest_Model by @hdhulipala02 in #163
• LightGBM_ONNX_python_version_update by @hdhulipala02 in #164
• remove_files by @hdhulipala02 in #165
• Update Lab-4 Images and Python script by @MarkHeff in #166
• • fix readme by @lyudmil-pelov in #167
• Distributed Tensorflow Artifacts and Readme by @jayatijain in #168
• Bump joblib from 1.0.1 to 1.2.0 in /ai_services/vision/python/analyze-video by @dependabot in #170
• DTV1.5 changes by @ranjeetkgupta in #171
• distributed training documentation improvements by @lyudmil-pelov in #172
• bumped up ads version by @ranjeetkgupta in #173
• DT:added known issue to FAQ by @ranjeetkgupta in #174
• DLS Bulk Labeling: Bug fixes and added logging capability by @puneetmittal399 in #169
• link fix on getting started by @mayoor in #178
• Update notebooks for x-ray lab by @yipwendy713 in #176
• fix vault jobs examples, profile settings and formatting of the cli commands in dtv docs by @lyudmil-pelov in #180
• Dev xrays by @yipwendy713 in #179
• fix broken link in Readme by @ahosler in #181
• Renamed files by @mayoor in #183
• bug fix in fraud detection notebook by @streamnsight in #184
• fix spark_config issue when not provided by @streamnsight in #185
• Ml innovation public repos by @johnpeach in #186
• moved ESG demo by @johnpeach in #187
• improving documentation by @lyudmil-pelov in #189
• Added example for OCI pipeline service[limited availability] by @lu-ohai in #188
• Update the Jobs Java Client SDK examples by @lyudmil-pelov in #190
• Add doc understanding lab by @kddorazio in #191
• updating ADS docs links by @jrgauthier01 in #192
• Add python sample code by @kddorazio in #193
• Updated with trial account information and sample code links by @kddorazio in #194
• ODSC-36358. Add 2 images to MD examples by @liudmylaru in #196
• renaming 6 notebooks by @adoroshk in #195
• ODSC-36681: [MVS][Notebooks] Add Model Version Set Introduction noteb… by @mrDzurb in #198
• Updating Jobs BYOC and Distributed Training Guidances by @lyudmil-pelov in #199
• Git hub action readme by @adoroshk in #201
• Update example in train register deploy pytorch ipynb by @mingkang111 in #197
• Update for PySpark 3.2 by @streamnsight in #202
• Updates to conda pack references in notebooks by @jdesanto in #204
• Update action.yaml by @adoroshk in #203
• CVE-2007-4559 Patch by @TrellixVulnTeam in #175
• Refresh distributed container artifacts by @mayoor in #207
• GitHub actions to auto update README and create PR by @adoroshk in #208
• Add compatible conda by @jdesanto in #206
• Update Job monitor by @qiuosier in #209
• GitHub action to auto create README.md updated to run on master branch only + timestamp by @adoroshk in #211
• Upgrade to latest OCI SDK by @lyudmil-pelov in #214
• Jobs sample: Custom metrics by @jasper-schneider in #213
• Update PyTorch distributed training artifact to utilize Multi-GPUs in each node by @qiuosier in #212
• Update Job monitor to show job run metrics by @qiuosier in #217
• update the Horovod distributed training guide by @lyudmil-pelov in #219
• make index.json by @adoroshk in #222
• adding Oracle Fn example for starting jobs by @lyudmil-pelov in #228
• README.md and index.json auto update by @github-actions in #226
• Update pipelines-ml_lifecycle.ipynb by @lu-ohai in #223
• README.md and index.json auto update by @github-actions in #230
• Update pipelines-ml_lifecycle.ipynb by @lu-ohai in #231
• ML pipelines samples for GA by @tsikiksr in #220
• Added notebook to determine ADW performance by @johnpeach in #232
• Adding script to upload files to object storage bucket by @RahulPrakash-M in #218
• fix download artifact code for Jobs OCI SDK JavaScript samples by @lyudmil-pelov in #233
• Moved notebook by @johnpeach in #234
• Moved notebooks by @johnpeach in #235
• documentation improvements by @lyudmil-pelov in #237
• Update broken links by @tsikiksr in #239
• Adds create date info in the notebooks index json by @mrDzurb in #238
• Updating oci java sdk to 2.41 by @RahulPrakash-M in #240
• Fixed typo by @jdesanto in #244
• Custom_KV workshop by @vunnam-manvitha in #227
• adjust the python jobs samples by @lyudmil-pelov in #241
• Ml assisted labeling utility by @s-sridharan in #221
• update the docs by @lyudmil-pelov in #247
• improvements wrt make_readme.py by @darenr in #245
• README.md and index.json auto update by @github-actions in #248
• README.md and index.json auto update by @github-actions in #257
• Add ADS version note to pipeline samples by @tsikiksr in #258
• Update train-register-deploy-pytorch.ipynb by @ahosler in #260
• add tutorials by @lyudmil-pelov in #259
• typos by @tsikiksr in #261
• Remove the adw-ads-performance.ipynb notebook by @johnpeach in #263
• doc fixes by @lyudmil-pelov in #265
• job sync logs automatically with object storage example by @lyudmil-pelov in #267
• job executing code in python subprocess example by @lyudmil-pelov in #269
• standby job with git - recurrent code running example by @lyudmil-pelov in #273
• vscode tunneling with jobs by @lyudmil-pelov in #274
• Sensitivity Auto Tuner tool for Standalone Univariate by @nakulkorde in #275
• Update samples for language 2.0 by @sahkalra in #271
• adding huggingface pipeline examples by @z7ye in #264
• Triton sample with Model Deploy BYOC by @tsikiksr in #277
• Add samples to deploy LDA NLP model using model deployment custom container support feature by @r-b-e-e in #276
• First version of PyPGX notebook by @jdesanto in #278
• Add automlx notebooks by @jdesanto in #272
• Updates to notebook, readme, and index by @jdesanto in #287
• fix the notebook by @z7ye in #289
• Added Remove label functionality and updated documentation and bug fixes by @mahemaku in #282
• Fix formatting in Deploy ONNX model on Triton file by @r-b-e-e in #285
• Update docs by @spavlusieva in #291
• reorganize the tutorial section by @lyudmil-pelov in #292
• 279: Customer Review Sentiment Analysis by @behnambina in #281
• Include cell outputs by @jdesanto in #293
• Changed "developed on" to "developed_on"; updated make_readme.py; udp… by @jdesanto in #294
• workaround for the kerberos issue by @z7ye in #295
• Rendering fixes by @jdesanto in #297
• Rendering fixes by @jdesanto in #298
• Rendering fixes2 by @jdesanto in #299
• Rendering fixes by @jdesanto in #300
• Fix rendering issues by @jdesanto in #301
• Add tutorial on Training GPT Model with PyTorch DDP by @qiuosier in #303
• Notebook Lifecycle Scripts Examples by @rohit-guitar in #302
• Update sensitivity tuner script for hybrid unitvariate by @nakulkorde in #290
• make the custom metrics script to work with notebooks by @lyudmil-pelov in #305
• Sample code for GPT-2 deployment with Nvidia Triton and OCI Model Deploy GPU by @shaksing31 in #309
• Darenr refactor make readme, more/better validation by @darenr in #311
• [ODSC-40851]fix the notebook of pyarrow by @z7ye in #296
• Ray cluster integration by @Davide-Cocco in #313
• Triton sample for multi model by @geekygargish in #316
• Moved Update Model Deployment to different section and rectifying for… by @geekygargish in #318
• Job Monitor Updates by @qiuosier in #317
• Odsc 41036/update notebooks by @jdesanto in #319
• Update ADS pyspark-dataflow-application-notebook by @mingkang111 in #320
• Add new graph notebook by @rahul-tasker in #321
• Removed broken directory information by @jdesanto in #322
• Add pre-commit hooks for ocids, copyright and secrets by @liudmylaru in #323
• Add onnx notebook by @jdesanto in #325
• Add in comment for install-activate-conda script by @yipwendy713 in #326
• added support files for llama2 blog post by @darenr in #330
• adding ads example for jobs and updating the Java sample project by @lyudmil-pelov in #324
• Update documentation according to internal requirements by @spavlusieva in #333
• LLM deployment updates by @lyudmil-pelov in #334
• updating the vLLM deployment guidance by @lyudmil-pelov in #335
• change vllm container to reduce size by @lyudmil-pelov in #337
• Llama2 model with OCI Model Deploy and Model Catalog by @gargnipungarg in #332
• Adding a demo script to launch llama2 fine tuning and then deploy the finetuned model by @mayoor in #338
• Optimise vllm image size by @gargnipungarg in #339
• Clarify the JOB_RUN_ENTRYPOINT usage by @lyudmil-pelov in #341
• API GW fronting Model deployment endpoint by @gargnipungarg in #340
• Merging online + Offline mode of Llama2 hosting by @gargnipungarg in #342
• Feature store notebook examples by @KshitizLohia in #327
• update LICENSE.txt file by @spavlusieva in #344
• Llama2 fine-tuning docs update and move to README by @lyudmil-pelov in #345
• Updated readme with troubleshooting section by @gargnipungarg in #343
• pass stream to create_model_artifact by @z7ye in #348
• [ODSC-49121]update with the latest module by @z7ye in #349
• Feature store examples for conda pack v2 by @KshitizLohia in #354
• Adding Mistral AI deployment example by @dipatidar in #352
• LLM folder and quantization sample by @tsikiksr in #356
• Sample notebooks feature store conda by @KshitizLohia in #357
• Feature Engineering in feature store by @guptadivyank in #358
• Add conda list txt files for service docs about conda packs by @liudmylaru in #366
• update the vllm deployment by @lyudmil-pelov in #367
• adding opensearch notebook by @z7ye in #353
• Added feature store conda v2 (Merge post conda pack release) by @KshitizLohia in #359
• move the notebook to notebook examples folder by @z7ye in #370
• Added example to deploy langchain application by @lu-ohai in #364
• Odsc 49558/feature store mljob by @KshitizLohia in #369
• [DO NOT MERGE] FS creation,ingestion using mljob by @guptadivyank in #361
• Add in script to set up notebook to use data flow by @yipwendy713 in #328
• Update readme.md by @tsikiksr in #365
• Remove Lab 5 by @MarkHeff in #355
• added ml jobs by @KshitizLohia in #373
• Triton TensorRT Falcon Ensemble BYOC Model Deployment by @gargnipungarg in #371
• RAG MD Python Code for BYOC and Streamlit application by @Gaurav141199 in #368
• Have copyright year adjust automatically by @ahosler in #377
• Update check-copyright.py to check only user modified files. by @qiuosier in #378
• ML Insights - Sample Notebooks by @abhatt1250 in #380
• Adding data file by @tsikiksr in #381
• ODSC-49119. Added tests for check_copyright pre-commit by @liudmylaru in #382
• Fixes to action yaml in tests for check_copyright pre-commit by @liudmylaru in #383
• Updating documentment url and updating readme.md by @abhatt1250 in #385
• Update conda environment by @tsikiksr in #387
• Feature store tutorials by @KshitizLohia in #376
• Fixing of incorrect links by @KshitizLohia in #388
• Fixing broken terraform URL by @harsh97 in #389
• updaing variables by @harsh97 in #390
• llama2 + stable diffusion deployment improvements by @lyudmil-pelov in #391
• Bump gradio from 4.7.1 to 4.11.0 in /model-deployment/containers/llama2 by @dependabot in #392
• Added conda list txt files related to 001 conda packs release train by @liudmylaru in #396
• Adding container terraform and updating api_gw terraform by @harsh97 in #397
• Fixing missing file in zip by @harsh97 in #399
• Adding helm charts for feature store by @harsh97 in #400
• remove feature store tutorials by @KshitizLohia in #404
• Added conda list txt files related to 002 conda packs release train by @liudmylaru in #405
• Bump gradio from 4.11.0 to 4.19.2 in /model-deployment/containers/llama2 by @dependabot in #406
• Stored Video Service Livelab by @vunnam-manvitha in #403
• add AQUA evaluation tips by @darenr in #411
• added example eval dataset by @darenr in #412
• add instruct prompt by @darenr in #413
• fix up the llm prompt template by @darenr in #414
• Update evaluation-sample-1.jsonl by @mrDzurb in #415
• show two examples - one with and one without system message by @darenr in #416
• Demising functions based approach for model deployment autoscaling by @gargnipungarg in #418
• Delete labs/ai-vision/stored_video_analysis/images/policy3.PNG by @darenr in #419
• Add aqua cli documentation by @VipulMascarenhas in #420
• placeholder urls by @darenr in #417
• Aqua extra docs by @darenr in #421
• Sanjay's Million Edits by @darenr in #424
• fix formatting errors in cli docs by @darenr in #425
• Update README.md - remove "overview" by @darenr in #426
• Update README.md by @darenr in #427
• Update README.md - remove misplaced "t" by @darenr in #428
• wording for versioning as per Mayoor's request by @darenr in #429
• Update model-deployment-tips.md by @darenr in #430
• Adding aqua orm stack by @harsh97 in #431
• Aqua policy readme update by @liudmylaru in #432
• Updating aqua ORM stack by @harsh97 in #433
• Update Model Deployment Inference example by @VipulMascarenhas in #434
• Update model deployment tips by @VipulMascarenhas in #435
• add toc to polices by @darenr in #436
• Update AQUA MD page by @VipulMascarenhas in #437
• How to Deploy Falcon TensorRT model in NVIDIA Triton TRT Inference Server by @Abh1navKumar in #438
• fix broken links in policies page by @darenr in #439
• refresh policies by @darenr in #440
• Update policies md by @yipwendy713 in #441
• Improved the policy section of the AQUA documentation by @mrDzurb in #442
• Add info that admin in the tenancy needs to run the ORM stack by @yipwendy713 in #444
• Add AI Quick Actions mention by @tsikiksr in #445
• Add LLM section by @tsikiksr in #446
• ML Insights - Update and Add new sample notebooks by @abhatt1250 in #448
• Bump langchain from 0.0.333 to 0.1.11 in /model-deployment/containers/rag_llama2/ingestion_md by @dependabot in #409
• Bump requests from 2.25.1 to 2.31.0 in /model-deployment/containers/rag_llama2/inference_md by @dependabot in #375
• add SMC with ELYZA by @darenr in #451
• Update deploy-with-smc.md by @darenr in #452
• Daren llama3 blog by @darenr in #454
• Readme Updated by @Gaurav141199 in #455
• Updating AQUA stack by @harsh97 in #450

New Contributors

• @jrgauthier01 made their first contribution in #2
• @rnahar25 made their first contribution in #6
• @johnpeach made their first contribution in #16
• @shail2612 made their first contribution in #17
• @lyudmil-pelov made their first contribution in #37
• @zhang587 made their first contribution in #39
• @wprichard made their first contribution in #42
• @MarkHeff made their first contribution in #57
• @SimpsonsFan made their first contribution in #59
• @jayhardikar made their first contribution in #60
• @ananya2812 made their first contribution in #79
• @YanirShahak made their first contribution in #78
• @puneetmittal399 made their first contribution in #80
• @akshat1145 made their first contribution in #89
• @bug-catcher made their first contribution in #111
• @shwanashrafi made their first contribution in #112
• @shujchen-oracle made their first contribution in #122
• @streamnsight made their first contribution in #136
• @mayoor made their first contribution in #137
• @socalrug made their first contribution in #144
• @ranjeetkgupta made their first contribution in #148
• @jasper-schneider made their first contribution in #149
• @jayatijain made their first contribution in #150
• @tsikiksr made their first contribution in #159
• @hdhulipala02 made their first contribution in #153
• @dependabot made their first contribution in #170
• @yipwendy713 made their first contribution in #176
• @ahosler made their first contribution in #181
• @lu-ohai made their first contribution in #188
• @kddorazio made their first contribution in #191
• @liudmylaru made their first contribution in #196
• @adoroshk made their first contribution in #195
• @mrDzurb made their first contribution in #198
• @mingkang111 made their first contribution in #197
• @jdesanto made their first contribution in #204
• @TrellixVulnTeam made their first contribution in #175
• @github-actions made their first contribution in #226
• @RahulPrakash-M made their first contribution in #218
• @vunnam-manvitha made their first contribution in #227
• @s-sridharan made their first contribution in #221
• @nakulkorde made their first contribution in #275
• @sahkalra made their first contribution in #271
• @z7ye made their first contribution in #264
• @r-b-e-e made their first contribution in #276
• @mahemaku made their first contribution in #282
• @spavlusieva made their first contribution in #291
• @behnambina made their first contribution in #281
• @rohit-guitar made their first contribution in #302
• @shaksing31 made their first contribution in #309
• @Davide-Cocco made their first contribution in #313
• @geekygargish made their first contribution in #316
• @rahul-tasker made their first contribution in #321
• @gargnipungarg made their first contribution in #332
• @KshitizLohia made their first contribution in #327
• @dipatidar made their first contribution in #352
• @guptadivyank made their first contribution in #358
• @Gaurav141199 made their first contribution in #368
• @abhatt1250 made their first contribution in #380
• @harsh97 made their first contribution in #389
• @VipulMascarenhas made their first contribution in #420
• @Abh1navKumar made their first contribution in #438

Full Changelog: https://github.com/oracle-samples/oci-data-science-ai-samples/commits/1.0