OnionKiller

OnionKiller's Stars

• danielmiessler/fabric

  fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

  Language:Go26k2.8k

• github/codeql

  CodeQL: the libraries and queries that power security researchers around the world, as well as code scanning in GitHub Advanced Security

  Language:CodeQL7.8k1.6k

• community-scripts/ProxmoxVE

  Proxmox VE Helper-Scripts (Community Edition)

  Language:Shell6.8k413

• DS4SD/docling

  Get your documents ready for gen AI

  Language:Python15k765

• jendrikseipp/vulture

  Find dead Python code

  Language:Python3.6k156

• jujumilk3/leaked-system-prompts

  Collection of leaked system prompts

  1.3k151

• rust-lang/rustlings

  :crab: Small exercises to get you used to reading and writing Rust code!

  Language:Rust55k10.3k

• zhengchen1999/DAT

  PyTorch code for our ICCV 2023 paper "Dual Aggregation Transformer for Image Super-Resolution"

  Language:Python42640

• microsoft/semantic-kernel

  Integrate cutting-edge LLM technology quickly and easily into your apps

  Language:C#22.3k3.3k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—language models

  Language:Python20.2k1.5k

• mhamilton723/FeatUp

  Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

  Language:Jupyter Notebook1.4k79

• betwixt-labs/bebop

  🎷No ceremony, just code. Blazing fast, typesafe binary serialization.

  Language:C#1.9k40

• AMDResearch/Riallto

  The Riallto Open Source Project from AMD

  Language:Jupyter Notebook7010

• FranxYao/Long-Context-Data-Engineering

  Implementation of paper Data Engineering for Scaling Language Models to 128K Context

  Language:Python44629

• stanford-futuredata/ARES

  Automated Evaluation of RAG Systems

  Language:Python49954

• nilsberglund-orleans/YouTube-simulations

  Code for simulations on YouTube

  Language:C63543

• Hannibal046/Awesome-LLM

  Awesome-LLM: a curated list of Large Language Model

  19.4k1.6k

• passlab/CUDAMicroBench

  Language:C375

• abacaj/openhermes-function-calling

  Language:Jupyter Notebook13613

• m-schuetz/SimLOD

  Language:C++46625

• Troyanovsky/Local-LLM-Comparison-Colab-UI

  Compare the performance of different LLM that can be deployed locally on consumer hardware. Run yourself with Colab WebUI.

  Language:Jupyter Notebook996144

• jsvine/pdfplumber

  Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.

  Language:Python6.9k686

• nytud/HuLU

  Hungarian Language Understanding Benchmark Kit

  8

• gruns/icecream

  🍦 Never use print() to debug again.

  Language:Python9.3k191

• KaTeX/KaTeX

  Fast math typesetting for the web.

  Language:JavaScript18.5k1.2k

• podaac/tutorials

  The PO.DAAC Cookbook: A place to find data recipes and tutorials for PO.DAAC datasets, tools & services

  Language:Jupyter Notebook9343

• a-gondolkodas-orome/tikz-tutorial

  Language:CSS2

• BenTrk/kisgeri24

  Kisgeri 24 application in Flutter

  Language:Dart32

• pavelliavonau/cmakeconverter

  This project aims to facilitate the conversion of Visual Studio to CMake projects.

  Language:Python861111

• GRA0007/crab.fit

  Enter your availability to find a time that works for everyone!

  Language:TypeScript29640