Neuralnetworksanddeeplearning.Com.Pdf alternatives for AI agents.

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

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

Deep Learning for humans

An Open Source Machine Learning Framework for Everyone

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 or handson-mlp instead.

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

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

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Tensors and Dynamic neural networks in Python with strong GPU acceleration

A WebGL accelerated JavaScript library for training and deploying ML models.

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.

🐍 Geometric Computer Vision Library for Spatial AI

A python library for user-friendly forecasting and anomaly detection on time series.

Seamlessly integrate LLMs into scikit-learn.

🤗 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.