Jasna restores mosaics in videos and images. It is free, has a simple app and a command line, and runs on your GPU.
Global
1-Flash-1017 (748B MoE) privately on your own GPU(s), from one card to 16, NVIDIA or AMD, Linux or Windows. Engine, server, dashboard, OpenAI- and Anthropic-compatible API, quant tools.
> No game files are included. You need your own decrypted dump of Bloodborne > (CUSA03173). 09 is needed for the community patches (60/90/unlocked FPS, > resolution, effects); other versions run at 30 FPS.
Run DLSS 5 Neural Rendering on AMD Radeon RX 9000 (RDNA4) and 7000 (RDNA3) cards, in any DirectX 12 game that uses FSR.
> No game files are included. elf, scesys, u1data, u2data and u3data). > This project is not affiliated with Sony Interactive Entertainment or Naughty Dog.
SGLang is a high-performance serving framework for large language models and multimodal models.
THIS PROJECT IS NOT RELATED TO SHADPS4. ALL QUESTIONS RELATED TO THIS PROJECT SHOULD BE SENT TO THE DISCORD SERVER NOT TO THE SHADPS4 SERVER.
Sky Recomp is a native PC port (Windows x86-64 with Vulkan) based on static AArch64 -> C recompilation of The Legend of Zelda: Skyward Sword HD.
WanGP by DeepBeepMeep : The best Open Source Generative Models Accessible to the GPU Poor
🌉 At its core lies a novel hybrid architecture where the Language Model (LM) functions as an omni-capable planner: it transforms simple user queries into comprehensive song blueprints—scaling from short loops to 10-minute compositions—while synthesizing metadata, lyrics, and…
Experimental Darling runtime patches and tools for testing the macOS League client on Linux
The goal is to help gamers get better image quality from the hardware they already own, particularly older and lower-end GPUs.
This deepfake software is designed to be a productive tool for the AI-generated media industry. It can assist artists in animating custom characters, creating engaging content, and even using models for clothing design.
NOTE] > The total size of DeepSeek-V3 models on Hugging Face is 685B, which includes 671B of the Main Model weights and 14B of the Multi-Token Prediction (MTP) Module weights.
DeepSeek 4 Flash and PRO local inference engine for Metal, CUDA and ROCm
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud
Koharu introduces a local-first workflow for manga translation, utilizing the power of ML to automate the process. It combines the capabilities of object detection, OCR, inpainting, and LLMs to create a seamless translation experience.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调(全参数/Lora)、部署国内外开源大模型(LLM)/多模态大模型(MLLM)教程
This is the development repository of Triton, a language and compiler for writing highly efficient custom Deep-Learning primitives.
You input a raw green screen frame, and the neural network completely separates the foreground object from the green screen.
⭐ If LMCache helps you serve LLMs faster and cheaper, give us a star — it helps more teams discover the project.
Use pre-commit to ensure code quality (will run linters and formatters automatically):
Sunshine fork - The easiest way to stream with the native resolution of your client device
Run MoE models beyond VRAM on AMD, NVIDIA & Intel GPUs. Vulkan-powered, portable Windows app with automatic setup. | 让游戏显卡跑起超显存大模型,支持 AMD、NVIDIA、Intel,免安装、自动配置。只需13MB,即下即用!
dll) in Windows games on AMD Radeon GPUs under Linux and Proton. The game asks for DLSS as usual; the DLSS network runs on the AMD GPU through ZLUDA (CUDA on ROCm/HIP), with the heaviest DLSS kernels replaced by hand-written RDNA3 and RDNA4 code.
The first open-source GPU-accelerated graphics driver for macOS.
XMRig is a high performance, open source, cross platform RandomX, KawPow, CryptoNight and GhostRider unified CPU/GPU miner and RandomX benchmark. Official binaries are available for Windows, Linux, macOS and FreeBSD.
IMPORTANT] > Decky LSFG-VK Experimental and LSFG-VK Experimental are now MAKO. This repository is their new home and continuation. Future development, releases, documentation, and issue tracking happen here.
CuPy is a NumPy/SciPy-compatible array library for GPU-accelerated computing with Python. CuPy acts as a drop-in replacement to run existing NumPy/SciPy code on NVIDIA CUDA or AMD ROCm platforms.
Simple Python bindings for @ggerganov's llama.cpp library. This package provides: