SARosPerceptionKitti alternatives for AI agents.

Flower: A Friendly Federated AI Framework

🤗 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.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.

Deep Learning for humans

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Streamlit — A faster way to build and share data apps.

Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.

We write your reusable computer vision tools. 💜

🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

Deepfakes Software For All

💫 Industrial-strength Natural Language Processing (NLP) in Python