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autogptq

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

awesome-llm-transformers

Keep updating a list of awesome transformer models for LLM.

coketaste.github.io

Notebook about diving into Deep Learning

cpp-algorithms

This is the refactored code in the book Grokking Algorithms.

cuda-examples

This example demonstrates how to integrate CUDA into an existing C++ application.

d2l-book

Books with Jupyter notebooks

deeplearningsystem

Deep Learning System core principles introduction.

diamol

Code samples for the book "Learn Docker in a Month of Lunches"

dl-examples

The package is the collection of deep learning examples

flash-attention

Fast and memory-efficient exact attention

hip-examples

This example demonstrates how to integrate HIP into an existing C++ application.

hpc-examples

This package is the refactored code based on HPC.

jenkins_playground

Learn jenkins

llama.cpp

LLM inference in C/C++

llama2.c

Inference Llama 2 in one file of pure C

llm.c

LLM training in simple, raw C/CUDA

megatron-deepspeed

Ongoing research training transformer language models at scale, including: BERT & GPT-2

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

ng-video-lecture

pytorch-cpp-extension

The package includes customized C++, CUDA, and ROCm extensions.

rocm

AMD ROCm™ Software - GitHub Home

test_python_jenkins

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

triton

Development repository for the Triton language and compiler

vllm

A high-throughput and memory-efficient inference and serving engine for LLMs

xla

A machine learning compiler for GPUs, CPUs, and ML accelerators