A Python package for building Bayesian models with TensorFlow or PyTorch

Deep universal probabilistic programming with Python and PyTorch

A framework for composing Neural Processes in Python

Fast and Easy Infinite Neural Networks in Python

Deep neural network kernel for Gaussian process

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Toolbox of models, callbacks, and datasets for AI/ML researchers.

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

大数据入门指南 ⭐

Point Cloud Library (PCL)

Cloud-native high-performance edge/middle/service proxy

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

mlpack: a fast, header-only C++ machine learning library