🧑🏫 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, ... 🧠
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Torch implementation of neural style algorithm
PyTorch implementations of Generative Adversarial Networks.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Python Implementation of Reinforcement Learning: An Introduction
StyleGAN - Official TensorFlow Implementation
An open source implementation of CLIP.
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- scaled-yolov4
- yolor
- yolov3
- yolov4
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
- pytorch
- unet
- pytorch-unet
- semantic-segmentation
Reference PyTorch implementation and models for DINOv3
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
StyleGAN2 - Official TensorFlow Implementation
Minimal and clean examples of machine learning algorithms implementations
[ECCV 2024] Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
PyTorch implementation of YOLOv3, YOLOv3-SPP, and YOLOv3-tiny for real-time object detection with training, validation, inference, and multi-format export.
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Translate manga/image 一键翻译各类图片内文字 https://cotrans.touhou.ai/ (no longer working)