The uncompromising Python code formatter

Educational material to learn about Goggles and how to create your own.

Undetected version of the Playwright testing and automation library.

MiniCPM-V 4.5: A GPT-4o Level MLLM for Single Image, Multi Image and High-FPS Video Understanding on Your Phone

The lean application framework for Python. Build sophisticated user interfaces with a simple Python API. Run your apps in the terminal and a web browser.

Terminal utilities for node.js

[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Official repository for "Scaling Retrieval-Based Langauge Models with a Trillion-Token Datastore".

NanoGPT (124M) in 3 minutes

RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs

(ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

Python & Command-line tool to gather text and metadata on the Web: Crawling, scraping, extraction, output as CSV, JSON, HTML, MD, TXT, XML

An implementation of the Prompt-to-Prompt paper for the SDXL architecture

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

📊 An infographics generator with 30+ plugins and 300+ options to display stats about your GitHub account and render them as SVG, Markdown, PDF or JSON!

A compositional diagramming and animation library as an eDSL in Python

Set of tools to assess and improve LLM security.

The official Meta Llama 3 GitHub site

PyTorch native post-training library

Uncertainty quantification with PyTorch

Utilities for Dask and CUDA interactions

Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Sampling profiler for Python programs

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

A fast, clean, responsive Hugo theme.

PyTorch compiler that accelerates training and inference. Get built-in optimizations for performance, memory, parallelism, and easily write your own.