Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/dtch1997/awesome-ml-dev-tools
Collection of development tools for ML engineering or research
https://github.com/dtch1997/awesome-ml-dev-tools
List: awesome-ml-dev-tools
Last synced: 3 months ago
JSON representation
Collection of development tools for ML engineering or research
- Host: GitHub
- URL: https://github.com/dtch1997/awesome-ml-dev-tools
- Owner: dtch1997
- Created: 2023-02-12T20:56:58.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2023-02-21T09:50:23.000Z (over 1 year ago)
- Last Synced: 2024-08-09T11:19:13.811Z (3 months ago)
- Size: 5.86 KB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
- ultimate-awesome - awesome-ml-dev-tools - Collection of development tools for ML engineering or research. (Other Lists / PowerShell Lists)
README
# awesome-ml-dev-tools
Collection of resources and tools for ML engineering or research development## LLMs
- [OpenAI GPT-3 API](https://openai.com/api/)
- [Quickstart with Python example app](https://platform.openai.com/docs/quickstart/build-your-application)
- [OpenAI GPT-2 open-source](https://openai.com/blog/gpt-2-1-5b-release/)
- [HuggingFace API](https://huggingface.co/gpt2)
- [Official Python API](https://github.com/openai/gpt-2)
- [Simplified Python API](https://github.com/minimaxir/gpt-2-simple)
- [Dataset](https://github.com/openai/gpt-2-output-dataset)
- [Cohere AI](https://cohere.ai/generate)## Q&A over documents
- [Unstructured](https://github.com/Unstructured-IO/unstructured) - Python library for preprocessing of PDFs, images, HTML, Word documents etc.
- [GPT Index](https://gpt-index.readthedocs.io/en/latest/index.html) for constructing index
- [ColBertV2](https://github.com/stanford-futuredata/ColBERT) for searching index## Embedding Databases
- [Pinecone](https://www.pinecone.io/)
- [Weaviate](https://weaviate.io/)
- [pgvector](https://github.com/pgvector/pgvector)## LLMs using external APIs
- [LangChain](https://github.com/hwchase17/langchain)
- [Dust.tt](https://dust.tt/)## Prompt-engineering
- [Microsoft LMOps](https://www.infoq.com/news/2023/02/microsoft-lmops-tools/)
- [Humanloop](https://humanloop.com/)
- [Everyprompt](https://www.everyprompt.com/)## Deploying ML-powered apps
- [Streamlit](https://streamlit.io/)
- [Gradio](https://gradio.app/)## MLOps
- [Chip Huyenn's MLOps discord](https://discord.com/invite/Mw77HPrgjF)
- [MLFlow](https://mlflow.org/)
- [Kubeflow](https://www.kubeflow.org/)
- [Metaflow](https://metaflow.org/)
- [TFServing](https://www.tensorflow.org/tfx/guide/serving)## ML Frameworks
- PyTorch
- Jax
- TensorFlow## Example applications
- [Pinecone OP Stack](https://gkogan.notion.site/gkogan/The-OP-Stack-aafcab0005e3445a8ad8491aac80446c)
- [LangChain README](https://github.com/hwchase17/langchain)
- [Q&A over Notion database](https://github.com/hwchase17/notion-qa)
- [Chat-LangChain](https://github.com/hwchase17/chat-langchain)
- [GPT + WolframAlpha](https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain)
- [OpenAI Cookbook](https://github.com/openai/openai-cookbook)