Popular GitHub Repositories for Dendritic Computation

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 ;)

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Gorgonia is a library that helps facilitate machine learning in Go.

? ? ? ? GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统

Hummingbird compiles trained ML models into tensor computation for faster inference.

A list of awesome compiler projects and papers for tensor computation and deep learning.

A unified framework for privacy-preserving data analysis and machine learning

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Fast and Easy Infinite Neural Networks in Python

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

Self-contained Machine Learning and Natural Language Processing library in Go

An acausal modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

High Performance Computation for N-D Tensors in .NET, similar API to NumPy.

Privacy-Preserving Computing Platform 由密码学专家团队打造的开源隐私计算平台，支持多方安全计算、联邦学习、隐私求交、匿踪查询等。

A Framework for Encrypted Machine Learning in TensorFlow

Advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

Efficient Batched Reinforcement Learning in TensorFlow

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.