WhiteNightShadow / firefox-reverse
🦊 内置 AI 逆向 Agent 的 Firefox — 通用 JS/JSVMP/WASM/签名逆向工作站，SpiderMonkey 引擎层非侵入 trace，把加密参数从黑盒还原成不依赖浏览器的纯算法
WhiteNightShadow / firefox-reverse
h2oai / h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
microvm-nix / microvm.nix
NixOS MicroVMs
AtomicBot-ai / Atomic-Chat
Local AI app and inference engine for agents. Run open-weight LLMs locally — private, 100% offline on your computer. Join our Discord: https://discord.com/invite/8wGSsvmg4V
joanby / python-ml-course
Curso de Introducción a Machine Learning con Python
semicons / java_oci_manage
Web SSH Smart Terminal for multi-cloud management (OCI / AWS / GCP / Azure / DO / SolusVM /VirtFusion), with cloud panel, Telegram bot, and Cloudflare integration — 面向多云管理的 Web SSH 智能终端，集成云管理面板、Telegram 机器人与Cloudflare
google / crosvm
The Chrome OS Virtual Machine Monitor - Mirror of https://chromium.googlesource.com/crosvm/crosvm/
LiteSVM / litesvm
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angall1 / CSVMusic
Scroll down to get to the downloads! Or click on the link below
solana-classic / solana-classic
Bring back the fun. Open-source SVM blockchain development focused on art, NFTs, memes and their communities. Experimental testnet live.
Carl-McBride-Ellis / Compendium-of-free-ML-reading-resources
Compendium of free ML reading resources
xlite-dev / lihang-notes
📚《统计学习方法-李航: 笔记》 200页PDF，包含详细的公式细节讲解以及R语言实现 🎉
Huai-Tian / GnptHooks
General NPT hook framework for Windows (Windows 10 - 11)
Qmeimei10086 / svm-dbg
基于npt-hook的amd平台调试体系重建工具
skeeto / StarsVM
Win16-on-Win32 host for Stars! (4x game)
hamza01055 / ml-from-scratch
Machine learning from scratch with Python and NumPy. Explore 12 chapters covering regression, neural networks, trees, clustering, SVMs, and autodiff with mathematical derivations, interactive notebooks, gradient verification, and 59 automated tests. No scikit-learn or PyTorch.