Ergo alternatives for AI agents.

Deep Learning for humans

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

🧑‍🏫 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, ... 🧠

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Open standard for machine learning interoperability

Open Machine Learning Compiler Framework

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, Slurm, 20+ clouds, on-prem).

An Open Source Machine Learning Framework for Everyone

Visualizer for neural network, deep learning and machine learning models

The fastai deep learning library

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

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.

🤗 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.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版