Sandbox for graphics paper implementation

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）

An Open Source Machine Learning Framework for Everyone

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

An FPGA design for simulating biological neurons

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Custom implementation of a neural network from scratch using Python

C++ image processing and machine learning library with using of SIMD: SSE, AVX, AVX-512, AMX for x86/x64, VMX(Altivec) and VSX(Power7) for PowerPC, NEON for ARM.

Building an application using RAG algorithms

🐣 educational hub on verification and computer vision

A superhuman chess engine.

The Libre Multilingual Analyzer, a Natural Language Processing (NLP) C++ toolkit.

Predictor for stock and ETF prices

Open standard for machine learning interoperability

PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.

Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

A lightweight library for PyTorch training tools and utilities

High-efficiency floating-point neural network inference operators for mobile, server, and Web

A C++17 library to access the entire OpenAI API.