ML
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
A scikit-learn compatible neural network library that wraps PyTorch
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Deep universal probabilistic programming with Python and PyTorch
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
A library for efficient similarity search and clustering of dense vectors.
A guidance language for controlling large language models.
Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Open-source vector similarity search for Postgres
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A unified framework for machine learning with time series
distfit is a python library for probability density fitting.
🦙 Integrating LLMs into structured NLP pipelines
Sparsity-aware deep learning inference runtime for CPUs
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Burn is a next generation Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Port of OpenAI's Whisper model in C/C++