sgaopico

Castro

Castro (Compressible Astrophysics): An adaptive mesh, astrophysical compressible (radiation-, magneto-) hydrodynamics simulation code for massively parallel CPU and GPU architectures.

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

wavedrom.github.io

Digital timing diagram editor

Pearl

A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.

comet-examples

Examples of Machine Learning code using Comet.ml

ai-researcher

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

mmRISC-1

RISC-V RV32IMAFC Core for MCU

3DTopia

Text-to-3D Generation within 5 Minutes

bert

TensorFlow code and pre-trained models for BERT

DataScience

faiss-fpga

An FPGA integration and acceleration of the popular FAISS framework for approximate similarity search

open-interpreter

A natural language interface for computers

google-research

Google Research

Gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

hls4ml

Machine learning on FPGAs using HLS

vnet

Virtual Ethernet over PCIe driver

Linux-Device-Driver-Development-Second-Edition

Linux Device Driver Development - Second Edition, published by Packt

tutorials

PyTorch tutorials.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

so-vits-svc

SoftVC VITS Singing Voice Conversion

kohya_ss

encodec

State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

Transformers

Transformers and related deep network architectures are summarized and implemented here.

Awesome-Transformer-in-CV

A Survey on Transformer in CV.

Transformer-Implementations

Library - Vanilla, ViT, DeiT, BERT, GPT

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

nn-zero-to-hero

Neural Networks: Zero to Hero

spacetimeformer

Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."