Pinned Repositories
annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
Co-SLAM
[CVPR'23] Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
como
COMO: Compact Mapping and Odometry
Course-2023
DAB-DETR
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
LangSplat
Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]
mmdetection
OpenMMLab Detection Toolbox and Benchmark
pixelsplat
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann
YooWang's Repositories
YooWang/DAB-DETR
[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR
YooWang/LangSplat
Official implementation of the paper "LangSplat: 3D Language Gaussian Splatting" [CVPR2024 Highlight]
YooWang/mmdetection
OpenMMLab Detection Toolbox and Benchmark
YooWang/pixelsplat
[CVPR 2024 Oral, Best Paper Runner-Up] Code for "pixelSplat: 3D Gaussian Splats from Image Pairs for Scalable Generalizable 3D Reconstruction" by David Charatan, Sizhe Lester Li, Andrea Tagliasacchi, and Vincent Sitzmann
YooWang/annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
YooWang/Awesome-Transformer-Attention
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
YooWang/cnn-explainer
Learning Convolutional Neural Networks with Interactive Visualization.
YooWang/Co-SLAM
[CVPR'23] Co-SLAM: Joint Coordinate and Sparse Parametric Encodings for Neural Real-Time SLAM
YooWang/como
COMO: Compact Mapping and Odometry
YooWang/Course-2023
YooWang/deep-text-recognition-benchmark
PyTorch code of my ICDAR 2021 paper Vision Transformer for Fast and Efficient Scene Text Recognition (ViTSTR)
YooWang/expert_readed_books
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，**类，数学类，人物传记书籍
YooWang/GNT
[ICLR 2023] "Is Attention All NeRF Needs?" by Mukund Varma T*, Peihao Wang* , Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
YooWang/gpt_academic
为ChatGPT/GLM提供实用化交互界面，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm2等本地模型。兼容文心一言, moss, llama2, rwkv, claude2, 通义千问, 书生, 讯飞星火等。
YooWang/lerf
Code for LERF: Language Embedded Radiance Fields
YooWang/NeRF-Based-SLAM-Incredible-Insights
YooWang/SMT
This is an official implementation for "Scale-Aware Modulation Meet Transformer".
YooWang/dynamic-gaussian-marbles
YooWang/RayDiffusion
Code for "Cameras as Rays"
YooWang/subsense
A tweaked version of the SuBSENSE background subtraction library.
YooWang/test1
Only for test
YooWang/test22
course content
YooWang/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
YooWang/udacity-project
YooWang/udacityproject
YooWang/UnderstandingDeepLearning-ZH-CN
UnderstandingDeepLearing中文翻译
YooWang/ViT-Adapter
[ICLR 2023 Spotlight] Vision Transformer Adapter for Dense Predictions
YooWang/ViT-CoMer
Official implementation of the CVPR 2024 paper ViT-CoMer: Vision Transformer with Convolutional Multi-scale Feature Interaction for Dense Predictions.
YooWang/ViT-pytorch
Pytorch reimplementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
YooWang/Works