1.usestrix / strix
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
Ranked by Attention Score: stars gained over the last 30 complete days
48 repositories by Attention Score · Oct 4, 2026 – Nov 2, 2026 (UTC)
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
🧠 Train a 64M-parameter LLM from scratch in just 2h!
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug bounty automation, and security research. Seamlessly bridge LLMs with real-world offensive security capabilities.
real time face swap and one-click video deepfake with only a single image
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
🐍 Geometric Computer Vision Library for Spatial AI
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
Open standard for machine learning interoperability
💫 Industrial-strength Natural Language Processing (NLP) in Python
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Best Practices on Recommendation Systems
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Python Implementation of Reinforcement Learning: An Introduction
Official Code for DragGAN (SIGGRAPH 2023)
The foundation layer for agentic intelligence.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
A PyTorch Library for Accelerating 3D Deep Learning Research
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
TensorFlow-based neural network library
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Interpretability and explainability of data and machine learning models
Mycroft Core, the Mycroft Artificial Intelligence platform.
Build Graph Nets in Tensorflow
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.
NFStream: a Flexible Network Data Analysis Framework.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
A collection of libraries to optimise AI model performances
Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.
Hyperparameter Experiments with TensorFlow and Keras
Sharing Updatable Models (SUM) on Blockchain
🎯 A comprehensive gradient-free optimization framework written in Python
TypeDB-ML is the Machine Learning integrations library for TypeDB
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.