Open Neuromorphic alternatives for AI agents.

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

An Open Source Machine Learning Framework for Everyone

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.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

邱锡鹏《神经网络与深度学习》（蒲公英书）理论书 v2 与通识版

🐍 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.

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

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

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Deep Learning for humans