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Open-source Windows and Office activator featuring HWID, Ohook, TSforge, and Online KMS activation methods, along with advanced troubleshooting.
Enterprise-grade, stateless compute-node delivery on pure open source: iPXE network boot + iSCSI diskless storage, orchestrated by a Control Plane / Agent architecture with control-plane / data-pla…
A terminal workbench in pure Rust: shells, persistent sessions, SSH, coding agents. GPU-rendered on Zed's gpui, VT core from Alacritty.
Curated list of resources for traders, such as tools, websites, and books related to trading stocks.
MLVC: Multi-platform Learned Video Codec for Real-World Deployment
PSX Static recompiler and runtime, not affiliated with sony or playstation
A hardware-accelerated Doom engine for the Sega Saturn (dual-SH2 + VDP1/VDP2). Bring a WAD, ship a Saturn FPS.
Original source of the ACS scripts for Hexen, DoomED source map files for Hexen and development tools such as HereticEd used for development of Hexen
An open ecosystem of parametric human models and perception stacks, starting with GNM Head.
Python Implementation of Reinforcement Learning: An Introduction
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
ryokun6 / crossmux
Forked from 0x1abin/crossmuxryOS CrossMux is reading-first firmware for the Xteink X3 and X4. This fork focuses on Chinese and CJK books: vertical EPUB layout, broader font coverage, reliable SD-card fonts, and faster 4-level…
The Little Book of Reinforcement Learning
High-performance JSX UI outside the browser, with hardware rendering, standard Vue Vapor and Solid support, a Tailwind style engine, and 60 FPS animation under an 8 MB memory budget.
The definitive vLLM runtime for dual RTX 2080 Ti 22GB + NVLink, delivering Qwen 27B local inference with 100+ tok/s single-request decode with support of FP8 weight
AI-native design editor. Open-source Figma alternative.
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Procedural generation with diffusion models (SIGGRAPH '26)
LLM speculative inference server for consumer hardware & heterogeneous computing
100M tokens. Infinite compute. Lowest val loss wins.
A straightforward method for training your LLM, from downloading data to generating text.