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Starred repositories
AI paper trading project inspired by nof1 Alpha Arena, using cctx for quotation.
A command-line tool for tracking nof1.ai AI Agent trading signals and automatically executing Binance futures trades
Common workflows and resources for generating AI images with ComfyUI.
All my self trained & released AI upscaling models. After gathering and applying over 600 different upscaling models, I learned how to train my own models, and these are the results.
Download market data from Yahoo! Finance's API
Run Windows apps on 🐧 Linux with ✨ seamless integration
This is the official Python version of Vision-Zero: Scalable VLM Self-Improvement via Strategic Gamified Self-Play.
OmniVinci is an omni-modal LLM for joint understanding of vision, audio, and language.
The official Open-Asset-Importer-Library Repository. Loads 40+ 3D-file-formats into one unified and clean data structure.
Open 3D Model Viewer - A quick and powerful 3D model viewer
Unity plugin which resolves Android & iOS dependencies and performs version management
Ling-V2 is a MoE LLM provided and open-sourced by InclusionAI.
Build reliable Gen AI solutions without overhead 🍕
LostRuins / koboldcpp
Forked from ggml-org/llama.cppRun GGUF models easily with a KoboldAI UI. One File. Zero Install.
A fast and simple structure from motion pipeline written in Pytorch.
A repository collecting image and video upscaling resources as well as my own super resolution models.
Interpolate, Upscale, Decompress, and Denoise videos easily on Linux/Windows/MacOS.
Custom nodes for SDXL and SD1.5 including Multi-ControlNet, LoRA, Aspect Ratio, Process Switches, and many more nodes.
Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.
Session replay, cobrowsing and product analytics you can self-host. Ideal for reproducing issues and iterating on your product.
SearXNG is a free internet metasearch engine which aggregates results from various search services and databases. Users are neither tracked nor profiled.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
i18next: learn once - translate everywhere