#transformers

LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

The nnsight package enables interpreting and manipulating the internals of deep learned models.

Unified, high-performance computer vision tracking library

A unified interface for various AI model providers

Generalist and Lightweight Model for Named Entity Recognition (Extract any entity types from texts)

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Fast, flexible LLM inference

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

Generative image and video runtimes for Apple Silicon (MLX): text/image-to-image, instruction editing, masked edit, text/image/reference-to-video, video editing, and restoration.

End-to-end ML toolkit automating the complete workflow — data profiling, preprocessing, feature engineering, model selection, training, validation, explainability, drift monitoring, fairness checks, and interactive HTML reporting. Includes a full CLI for zero-code ML pipelines. Python 3.10+.