Sign in

Repository Index

70,234 visible repositories in the index

Tags: All Tags
Tags

A repository shows when it has any selected Tag.

Filters

Filters

Clear all filters

12,241–12,264 of 17,778 · Most stars

Developer toolkit for vibe coding AI apps on the ibl.ai platform. Scaffold a production-ready Next.js app with iblai-app-cli and the @iblai/iblai-js SDK: SSO auth, AI chat, profiles, notifications, and analytics wired up out of the box. Pre-built components, Claude Code skills, and a hosted backend at iblai.app. Deploy in minutes.

One database for user-user (follows), user-item (likes), and item-item (related items) interactions — precomputed at write time, served as simple lookups

  • database
  • low-latency
  • real-time
  • graphdb

Four advanced components to simplify use of Icon Fonts as images and ImageList: TIconFontImage, TIconFontsImageCollection, TIconFontsVirtualImageList, TIconFontsImageList (for VCL and FMX). Full support for High-DPI apps. Rendering optimized with GDI+

  • delphi
  • icons
  • material-icon-fonts
  • icons-pack

An easy to use menu structure for cli applications that prompts users to make choices.

  • awesome-go
  • cli
  • menu
  • golang-package

HTTP/2 Last Frame Synchronization (also known as Single Packet Attack) low Level Library / Tool based on Scapy‌ + Exploit Timing Attacks

  • http2
  • race-condition
  • race-conditions
  • scapy

Overlay is a browser extension helping developers evaluate open source packages before picking them

  • advisory
  • extension
  • supply-chain

WezTerm Lua config types for LuaLS, with Neovim and VSCode support. Also supperts various WezTerm plugins.

  • lazydev
  • type-annotations
  • wezterm
  • wezterm-lua

Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.

  • awesome-list
  • embodied-ai
  • imitation-learning
  • in-context-learning

Pure-Rust inference engine for Qwen GGUF models (Qwen3 to Qwen3.8, dense and MoE up to 770B+). CUDA and Vulkan (NVIDIA, AMD), hybrid CPU+GPU experts, MTP speculative decoding, OpenAI and Anthropic compatible server. Up to ~1.7x llama.cpp decode on a 12 GB RTX 3060.