Stars
Implementation of the RWKV language model in pure WebGPU/Rust.
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Tools for merging pretrained large language models.
Distribute and run LLMs with a single file.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curatio…
llama3 implementation one matrix multiplication at a time
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
High-speed Large Language Model Serving on PCs with Consumer-grade GPUs
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.
MuseTalk: Real-Time High Quality Lip Synchorization with Latent Space Inpainting
MusePose: a Pose-Driven Image-to-Video Framework for Virtual Human Generation
MuseV: Infinite-length and High Fidelity Virtual Human Video Generation with Visual Conditioned Parallel Denoising
Character Animation (AnimateAnyone, Face Reenactment)
A curated list of ordinals and inscriptions ecosystem
A Bitcoin Runes library written in TypeScript
Ethereum contract for Bitcoin SPV: Live on https://etherscan.io/address/0x41f274c0023f83391de4e0733c609df5a124c3d4
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
Generate 3D objects conditioned on text or images
Instruct-tune LLaMA on consumer hardware
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.