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 180 complete days
48 repositories by Attention Score · May 7, 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!
real time face swap and one-click video deepfake with only a single image
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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.
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.
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
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.
Tongyi Deep Research, the Leading Open-source Deep Research Agent
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
Open standard for machine learning interoperability
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
💫 Industrial-strength Natural Language Processing (NLP) in Python
🐍 Geometric Computer Vision Library for Spatial AI
🦉 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
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Best Practices on Recommendation Systems
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
Python Implementation of Reinforcement Learning: An Introduction
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Official Code for DragGAN (SIGGRAPH 2023)
A PyTorch Library for Accelerating 3D Deep Learning Research
TensorFlow-based neural network library
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.
The foundation layer for agentic intelligence.
Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Interpretability and explainability of data and machine learning models
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Build Graph Nets in Tensorflow
Mycroft Core, the Mycroft Artificial Intelligence platform.
NFStream: a Flexible Network Data Analysis Framework.
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
A collection of libraries to optimise AI model performances
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.
Sharing Updatable Models (SUM) on Blockchain
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.
Hyperparameter Experiments with TensorFlow and Keras
Image quality is an open source software library for Image Quality Assessment (IQA).
🎯 A comprehensive gradient-free optimization framework written in Python
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion, CVPR 2020