🙌 OpenHands: AI-Driven Development

End-to-End Speech Processing Toolkit

LlamaIndex is a data framework for your LLM applications

Letta (fka MemGPT) is a framework for creating stateful LLM services.

Dify is an open-source LLM app development platform. Dify's intuitive interface combines AI workflow, RAG pipeline, agent capabilities, model management, observability features and more, letting yo…

🦜🔗 Build context-aware reasoning applications

Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Examples and guides for using the OpenAI API

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Code & pretrained models of novel deep graph matching methods.

A PyTorch-based Speech Toolkit

An open-source vector database for embedding similarity search and AI applications.

UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

A flexible, intuitive and fast forecasting library

Apache Ignite

Joint intent detection and slot filling

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

PyTorch extensions for high performance and large scale training.

kaldi-asr/kaldi is the official location of the Kaldi project.

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

ZenML: Bring Zen to your ML with reproducible pipelines

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Feature Store for Machine Learning

Deep learning for audio processing

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Framework for defining machine learning models, including feature generation and transformations, as directed acyclic graphs (DAGs).