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algorithm

azureml-examples

Official community-driven Azure Machine Learning examples, tested with GitHub Actions.

bolt

Binary Optimization and Layout Tool - A linux command-line utility used for optimizing performance of binaries

books

books-2

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

fastchat

An open platform for training, serving, and evaluating large languages. Release repo for Vicuna and FastChat-T5.

fio

Flexible I/O Tester

flexgen

Running large language models on a single GPU for throughput-oriented scenarios.

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/ssr/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

interview

Interview questions

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

jekyll_demo

lightllm

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

michaeltroger.github.io

Personal website including a blog - hosted on GitHub

neuralnetwork-programming

Neural Networks with Tensorflow

operating-systems-principles-and-practice-2nd

Operating Systems: Principles and Practice (2nd Edition) Anderson and Dahlin

pmem_ui

pmemcoe

pmemkv

Key/Value Datastore for Persistent Memory

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

rdma_fc

Demonstration of flow control over RDMA fabric

rpma

Remote Persistent Memory Access

s-lora

S-LoRA: Serving Thousands of Concurrent LoRA Adapters

shell_scripts

system-design-and-architecture

Learn how to design large-scale systems. Prep for the system design interview.

transformers

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

vllm

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