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

🧑‍🏫 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, ... 🧠

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

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）

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

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

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.

A log of things I'm 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.