LuaJIT git repository for LoongArch

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

互联网公司技术架构，微信/淘宝/微博/腾讯/阿里/美团点评/百度/OpenAI/Google/Facebook/Amazon/eBay的架构，欢迎PR补充

A keras h5df to ncnn model converter

An unofficial cuda assembler, for all generations of SASS, hopefully ：）

Assembler for NVIDIA Volta and Turing GPUs

互联网首份程序员考公指南，由3位已经进入体制内的前大厂程序员联合献上。

A library for high performance deep learning inference on NVIDIA GPUs.

Image processing library for learning purpose

🌺 Redis、Lua、Nginx、OpenResty 入门教程

In-depth understanding of Node.js: Core Ideas and Source Code Analysis

The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, HarmonyOS, WebAssembly, watchOS, tvOS, visionOS

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

One Warehouse for Analytics, Search, AI. Snowflake + Elasticsearch + Vector DB — rebuilt from scratch. Unified architecture on your S3.

The core OCaml system: compilers, runtime system, base libraries

Winograd minimal convolution algorithm generator for convolutional neural networks.

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

Distributed vector search for AI-native applications

Awesome list for Paxos and friends

CockroachDB — the cloud native, distributed SQL database designed for high availability, effortless scale, and control over data placement.

RocksDB/LevelDB inspired key-value database in Go

A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.

Hermes: a fault-tolerant replication protocol, implemented over RDMA, guaranteeing linearizability and achieving low latency and high throughput.

A modern layer 7 load balancer from baidu

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

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Running BERT without Padding

a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.

an open-source implementation of sequence-to-sequence based speech processing engine

Kubernetes 架构与生态：从云原生到 AI 原生基础设施的构建指南