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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
Generative Models by Stability AI
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Open standard for machine learning interoperability
Machine Learning Engineering Open Book
CVAT is a leading data annotation platform for image, video, audio, and 3D datasets. It offers open-source, cloud, and enterprise products, as well as labeling services, with AI-assisted labeling, quality assurance, team collaboration, analytics, and developer APIs.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
🦉 Data Versioning and ML Experiments
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
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.
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.
Always know what to expect from your data.
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.