univerone

fzf

:cherry_blossom: A command-line fuzzy finder

the-algorithm

Source code for Twitter's Recommendation Algorithm

cs-self-learning

计算机自学指南

ColossalAI

Making large AI models cheaper, faster and more accessible

shellcheck

ShellCheck, a static analysis tool for shell scripts

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Real-ESRGAN

Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

ruffle

A Flash Player emulator written in Rust

OCRmyPDF

OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched

memray

Memray is a memory profiler for Python

FreshRSS

A free, self-hostable news aggregator…

pypdf

A pure-python PDF library capable of splitting, merging, cropping, and transforming the pages of PDF files

GPTCache

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

nopecha-extension

Automated CAPTCHA solver for your browser. Works with Selenium, Puppeteer, Playwright, and more.

GPU-Puzzles

Solve puzzles. Learn CUDA.

CodeGen

CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

LoveIt

❤️A clean, elegant but advanced blog theme for Hugo 一个简洁、优雅且高效的 Hugo 主题

parallel-hashmap

A family of header-only, very fast and memory-friendly hashmap and btree containers.

gptcommit

A git prepare-commit-msg hook for authoring commit messages with GPT-3.

Algorithm-Practice-in-Industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

torchrec

Pytorch domain library for recommendation systems

how-to-optimize-gemm

cnpy

library to read/write .npy and .npz files in C/C++

fedlearner

A multi-party collaborative machine learning framework

emhash

Fast and memory efficient c++ flat hash map/set

FBTT-Embedding

This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as recommendation and natural language processing. We showed this library can reduce the total model size by up to 100x in Facebook’s open sourced DLRM model while achieving same model quality. Our implementation is faster than the state-of-the-art implementations. Existing the state-of-the-art library also decompresses the whole embedding tables on the fly therefore they do not provide memory reduction during runtime of the training. Our library decompresses only the requested rows therefore can provide 10,000 times memory footprint reduction per embedding table. The library also includes a software cache to store a portion of the entries in the table in decompressed format for faster lookup and process.

mulle-concurrent

📶 A lock- and wait-free hashtable (and an array too)

gtl

Greg's Template Library of useful classes.

float_compr_tester

Testing various libraries/approaches for compressing floating point data