yinghren Goto Github PK

ahahls

An open source high level synthesis (HLS) tool built on top of LLVM

awesome-serverless-papers

Collect papers about serverless computing research

bi-chatgpt-golang

基于ChatGPT进行BI数据分析[gin]

byteps

A high performance and generic framework for distributed DNN training

caravel__nngen

chatgpt-go

NeuralChat is a cutting-edge chatbot project that allows users to chat with the state-of-the-art OpenAI chatbot, GPT-3.5, in a seamless and user-friendly manner.

clockwork

A polyhedral compiler for hardware accelerators

create-stable-diffusion-from-scratch

Implemented a stable diffusion architecture using PyTorch.

federated-learning

联邦学习

fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

fedml_partial_combine

googlegpt

🤖 Bring the magic of ChatGPT to Google Search (powered by GPT-4!)

gpt_proj

Applications using GPT

how_to_optimize_in_gpu

This is a series of GPU optimization topics. Here we will introduce how to optimize the CUDA kernel in detail. I will introduce several basic kernel optimizations, including: elementwise, reduce, sgemv, sgemm, etc. The performance of these kernels is basically at or near the theoretical limit.

kob

Springboot Bot Fight Game

llms-from-scratch

Implementing a ChatGPT-like LLM from scratch, step by step

matrix_multiplication

Parallel Matrix Multiplication Using OpenMP, Phtreads, and MPI

mpi-matrix-multiplication

Matrix Multiplication using MPI

myos

This is an OS based on a book I read

nn_simd

nngen

NNgen: A Fully-Customizable Hardware Synthesis Compiler for Deep Neural Network

paper-review

parallel-matrix-multiplication

A demonstration of parallel computing in C using the Open MPI library.

project1

ray

An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

shared-notes

notes by Ke's study group

sparse-matrix-multiplication

Code for heterogeneous computing of product of two sparse matrices

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

veriloggen

Veriloggen: A Mixed-Paradigm Hardware Construction Framework

wrapperforelsdc

A wrapper for ELSDc