1microsoft / TokenEconomizer
Experience-Driven Black-Box Cost Control for Coding Agents
Ranked by Attention Score: stars gained over the last 7 complete days
33 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
Experience-Driven Black-Box Cost Control for Coding Agents
Open-source AI penetration testing tool to find and fix your app’s vulnerabilities.
🐍 Geometric Computer Vision Library for Spatial AI
🧠 Train a 64M-parameter LLM from scratch in just 2h!
real time face swap and one-click video deepfake with only a single image
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.
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.
Run many AI agents at once on your Mac, up to 3x faster.
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.
🐫 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.
A desktop app where AI agents decompile the games you own into C/C++ that rebuilds them byte for byte.
Open standard for machine learning interoperability
💫 Industrial-strength Natural Language Processing (NLP) in Python
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
Tongyi Deep Research, the Leading Open-source Deep Research Agent
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.
Best Practices on Recommendation Systems
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
Python Implementation of Reinforcement Learning: An Introduction
🦉 OWL: Optimized Workforce Learning for General Multi-Agent Assistance in Real-World Task Automation
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 Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)
The foundation layer for agentic intelligence.
Sharing Updatable Models (SUM) on Blockchain
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.