Corpus legislativo brasileiro em larga escala e modelo Transformer causal treinado do zero em PyTorch puro.
:one: OneWM: Can World and Action Modeling Benefit Each Other under Unified Causal Training?
Official code, locked protocols, and audit artifacts for "Jev-Routed Temporal Granularity with Recovery and Hysteresis for Causal Video Generation": per-segment fine/coarse/hold routing for Causal-rCM (Wan2.1-1.3B) via the Jev oracle, with two-GPU (T4/A100) feasibility audits.
A continuously updated lexicon of underground slang in the online fraud and gray-market economy: definitions, supply-chain roles, sanitized real-world usage and false-positive warnings. Chinese-dominant, with Brazilian Portuguese, English, Indonesian, Tagalog and Vietnamese entries. Maintained by the Threat Hunter research team.
We write your reusable computer vision tools. 💜
Distilly — Distill how they think into reusable Skills for any Agent or Bot. Formerly Colleague Skill(原同事 Skill).
SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts.
ComfyUI-Manager is an extension designed to enhance the usability of ComfyUI. It offers management functions to install, remove, disable, and enable various custom nodes of ComfyUI. Furthermore, this extension provides a hub feature and convenience functions to access a wide range of information within ComfyUI.
基于 Playwright 和AI实现的闲鱼多任务实时/定时监控与智能分析系统,配备了功能完善的后台管理UI。帮助用户从闲鱼海量商品中,找到心仪产品。
Polar — A billing platform for the intelligence era
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
The research engine that gives you an unfair advantage. Run thousands of trading ideas before others finish one.
Ruta de estudio basada en ejercicios de código de la comunidad MoureDev para aprender y practicar lógica usando cualquier lenguaje de programación.
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
🔧 pyinfra turns Python code into shell commands and runs them on your servers. Execute ad-hoc commands and write declarative operations. Target SSH servers, local machine and Docker containers. Fast and scales from one server to thousands.
Uplift modeling and causal inference with machine learning algorithms
Monitor Memory usage of Python code
Excel MCP server: let AI (Claude, Cursor, Codex) create and edit Excel files with charts, PivotTables, slicers and formulas. No Excel required.
Raptor turns Claude Code into a general-purpose AI offensive/defensive security agent. By using Claude.md and creating rules, sub-agents, and skills, and orchestrating security tool usage, we configure the agent for adversarial thinking, and perform research or attack/defense operations.
Switch between multiple Claude Code accounts, with automatic rate-limit rotation, usage dashboard, and parallel sessions
Python Toolkit for Causal and Probabilistic Reasoning
Codex/ChatGPT multiple account load balancer & proxy with usage tracking, dashboard, and OpenCode-compatible endpoints
100+ installable Claude skills covering Engineering areas such as, ISO 26262 functional safety, ISO/SAE 21434 cybersecurity, ISO 21448 SOTIF, AIAG-VDA quality (APQP/PPAP/FMEA), Automotive SPICE, and continuous improvement tools — every builder paired with a confirmation reviewer.
A lightweight Python tool to clean AI refusal responses from Codex CLI session files
Red Team's SIEM - tool for Red Teams used for tracking and alarming about Blue Team activities as well as better usability in long term operations.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.
Automatic Video Library Manager for TV Shows. It watches for new episodes of your favorite shows, and when they are posted it does its magic.
Open Source Pricing & Packaging Infrastructure
Autonomous AI sales agent powered by Claude Code or Codex. Finds prospects, writes cold emails, sends campaigns, handles replies, books meetings. No API keys needed — runs on your Claude or Codex subscriptions.
Model compression toolkit engineered for enhanced usability, comprehensiveness, and efficiency.
This repository features an Energy Optimization System (EOS) that optimizes energy distribution, usage for batteries, heat pumps& household devices. It includes predictive models for electricity prices (planned), load forecasting& dynamic optimization to maximize energy efficiency & minimize costs. Founder Dr. Andreas Schmitz (YouTube @akkudoktor)
The living ecosystem where AI agents complete tasks through workflow loops, improve through iterative execution, are evaluated by mentor agents or humans in the loop, and turn completed work into reusable work experience and data to improve future agents.
Yet another reusable writing skill for Chinese technical documentation and product copy.
Create simple reusable template components in Django.
A Python package for causal inference in quasi-experimental settings
A reading path for CPU performance engineering, from one instruction to production inference. Primary sources only, with a runnable benchmark for every section.
Trustworthy AI related projects
[ICML 2026] Official codebase for "Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation" & Causal Forcing++
A Home Assistant HACS integration that supports Kia Connect(Uvo) and Hyundai Bluelink. The integration supports the EU, Canada and the USA.
This repository contains Open Source freely usable Threat Intel feeds that can be used without additional requirements. Contains multiple types such as IP, URL, CVE and Hash.
Django Packages is a directory of reusable apps, sites, tools, and more for your Django projects.
reusable widgets made easy
Python framework for building efficient data pipelines. It promotes modularity and collaboration, enabling the creation of complex pipelines from simple, reusable components.
DoubleML - Double Machine Learning in Python
MemoRizz: A Python library serving as a memory layer for AI applications. Leverages popular databases and storage solutions to optimize memory usage. Provides utility classes and methods for efficient data management.
See what your coding agents did and what it cost. Breaks each task down into work steps — tools used, files changed, tests run, time and tokens spent. Local-first dashboard for Claude Code, Codex, OpenCode, and more. No login, no telemetry.
Open-source, OpenAI-compatible LLM gateway you run yourself. One endpoint for 40+ providers, with virtual keys, budgets, and usage tracking.
🔥🔥🔥 [NeurIPS2025] MM-Agent: LLM as Agents for Real-world Mathematical Modeling Problem
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.
Python Causal Impact Implementation Based on Google's R Package. Built using TensorFlow Probability.
A usable pixel art paint program written in Python
Keep code, data, containers under control with git and git-annex
Collective Knowledge (CK), Collective Mind (CM/CMX) and MLPerf automations: community-driven projects to learn how to run AI, ML, and other emerging workloads more efficiently and cost-effectively across diverse models, datasets, software, and hardware using MLPerf methodology and benchmarks.
Robust and reusable Executor for joblib
Recursive Language Models for efficient long-context processing. Analyze 1M+ tokens by storing context in a Python REPL while reducing LLM token usage.
This is a learning created by Omar Santos (@santosomar) for different Cybersecurity training sessions. It includes many intentionally vulnerable applications running in Docker containers and thousands of cybersecurity resources.
Monty is a sensorimotor learning framework based on the thousand brains theory of the neocortex.
A Python library for running thousands of MuJoCo simulations in parallel on CPU
Practical Clean Architecture backend example built with FastAPI. No stateful globals (DI), low coupling (DIP), tactical DDD, CQRS, proper UoW usage. REST API, per-route error handling, session-based auth, contextual RBAC. Bundled with extensive docs and modern tooling
A collection of Docker skills for AI coding agents to help them build, test, debug, and optimize containerized apps with consistent, reusable workflows.