🧑🏫 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.
A free, open source, and extensible speech-to-text application that works completely offline.
Visualizer for neural network, deep learning and machine learning models
Unrestricted Open-source alternative to AI video platforms — Free AI image & video generation studio with 600+ models (Flux, Midjourney, Kling, Sora, Veo). No content filters. Self-hosted, MIT licensed.
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
A game theoretic approach to explain the output of any machine learning model.
[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.
TranslatedPArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (Core framework of 'PaddlePaddle' (飞桨, Feijiang), for deep learning & machine learning: high-performance single-machine and distributed training, and cross-platform deployment)
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
- nlp
- pre-trained-model
- unilm
- minilm
Open standard for machine learning interoperability
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
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.
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
🦉 Data Versioning and ML Experiments
A theoretical reconstruction of the Claude Mythos architecture, built from first principles using the available research literature.
A multi-voice TTS system trained with an emphasis on quality
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
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)