🤗 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.

Unsloth Studio is a web UI for training and running open models like Qwen, DeepSeek, gpt-oss and Gemma locally.

Code and documentation to train Stanford's Alpaca models, and generate the data.

Universal LLM Deployment Engine with ML Compilation

Retrieval and Retrieval-augmented LLMs

MTEB: Massive Text Embedding Benchmark

A Unified Library for Parameter-Efficient and Modular Transfer Learning

Conditional Transformer Language Model for Controllable Generation

Nomic Developer API SDK

Retrieval Augmented Generation (RAG) framework and context engine powered by Pinecone

RankLLM is a Python toolkit for reproducible information retrieval research using rerankers, with a focus on listwise reranking.

SPECTER: Document-level Representation Learning using Citation-informed Transformers

Replication of the paper "Text Is All You Need: Learning Language Representations for Sequential Recommendation" on KDD'23.

streamlit-shap provides a wrapper to display SHAP plots in Streamlit.