labmlai / annotated_deep_learning_paper_implementationsLinks
🧑🏫 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, ... 🧠
☆64,643Updated 3 weeks ago
Alternatives and similar repositories for annotated_deep_learning_paper_implementations
Users that are interested in annotated_deep_learning_paper_implementations are comparing it to the libraries listed below
Sorting:
- A playbook for systematically maximizing the performance of deep learning models.☆29,453Updated last year
- 深度学习经典、新论文逐段精读☆32,042Updated 8 months ago
- 🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.☆16,103Updated 2 years ago
- Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Py…☆24,589Updated this week
- Machine learning, in numpy☆16,205Updated 2 years ago
- The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoi…☆52,710Updated last year
- Code examples in pyTorch and Tensorflow for CS230☆4,155Updated 2 years ago
- CVPR 2025 论文和开源项目合集☆21,543Updated 5 months ago
- 一本系统地教你将深度学习模型的性能最大化的战术手册。☆3,096Updated 2 years ago
- PyTorch code and models for the DINOv2 self-supervised learning method.☆11,980Updated 3 months ago
- Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities☆21,866Updated 5 months ago
- The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights --…☆35,941Updated this week
- 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱☆2,270Updated 7 months ago
- OpenMMLab Detection Toolbox and Benchmark☆32,085Updated last year
- 🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.…☆12,118Updated last year
- This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".☆15,503Updated last year
- ☆12,053Updated 9 months ago
- deep learning for image processing including classification and object-detection etc.☆25,822Updated 10 months ago
- Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, I…☆12,416Updated 7 months ago
- An open source implementation of CLIP.☆13,051Updated last month
- An annotated implementation of the Transformer paper.☆6,784Updated last year
- 《Pytorch模型训练实用教程》中配套代码☆8,014Updated 11 months ago
- 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal model…☆153,203Updated last week
- The official GitHub page for the survey paper "A Survey of Large Language Models".☆11,990Updated 8 months ago
- PyTorch Tutorial for Deep Learning Researchers☆31,983Updated 2 years ago
- ✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】☆14,758Updated last week
- Fast and memory-efficient exact attention☆20,804Updated last week
- Reading list for research topics in multimodal machine learning☆6,735Updated last year
- PyTorch implementations of Generative Adversarial Networks.☆17,358Updated last year
- CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image☆31,771Updated last year