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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

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Collection of development tools for ML engineering or research

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# 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)