#transformers

Compile a demonstrated GUI workflow into a deterministic, locally executable program. Zero model calls on healthy runs; governed repair; halts instead of guessing. Launcher for openadapt-flow: pip install openadapt

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

Fast, flexible LLM inference

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

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

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

Soup turns the pain of LLM fine-tuning into a simple workflow. One config, one command, done.

MLeap: Deploy ML Pipelines to Production

A unified interface for various AI model providers

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

State of the Art Natural Language Processing

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+.

PHP library for interacting with AI platform provider.