Policy Adaptation During Deployment alternatives for AI agents.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

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

Deep Learning for humans

Ultralytics YOLOv5 in PyTorch > ONNX > CoreML > TFLite

Deep universal probabilistic programming with Python and PyTorch

The fastai deep learning library

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

🤗 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.

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.

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