jeshraghian/snntorch

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Stable Diffusion web UI

The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

A high-throughput and memory-efficient inference and serving engine for LLMs

🧑‍🏫 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, ... 🧠

Deep Learning for humans

Ultralytics YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking

Clone a voice in 5 seconds to generate arbitrary speech in real-time

Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.

We write your reusable computer vision tools. 💜

Learn how to develop, deploy and iterate on production-grade ML applications.