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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, ... 🧠

Language:PythonLicense:MITStargazers:52433Issues:436Issues:130

MediaCrawler

小红书笔记 | 评论爬虫、抖音视频 | 评论爬虫、快手视频 | 评论爬虫、B 站视频 | 评论爬虫、微博帖子 | 评论爬虫

Language:PythonLicense:NOASSERTIONStargazers:15579Issues:92Issues:252

PaddleDetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Language:PythonLicense:Apache-2.0Stargazers:12461Issues:198Issues:5361

leetcode_101

LeetCode 101:和你一起你轻松刷题(C++)

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

Language:PythonLicense:NOASSERTIONStargazers:3630Issues:64Issues:19

evo

Python package for the evaluation of odometry and SLAM

Language:PythonLicense:GPL-3.0Stargazers:3358Issues:51Issues:405

SfMLearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

Language:Jupyter NotebookLicense:MITStargazers:1952Issues:78Issues:145

pyslam

pySLAM contains a monocular Visual Odometry (VO) pipeline in Python. It supports many modern local features based on Deep Learning.

Language:PythonLicense:GPL-3.0Stargazers:1764Issues:41Issues:97

Diffusion-Models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

Language:PythonLicense:Apache-2.0Stargazers:1055Issues:11Issues:40

yolov7-pytorch

这是一个yolov7的库,可以用于训练自己的数据集。

Language:PythonLicense:GPL-3.0Stargazers:848Issues:5Issues:125

flowmap

Code for "FlowMap: High-Quality Camera Poses, Intrinsics, and Depth via Gradient Descent" by Cameron Smith*, David Charatan*, Ayush Tewari, and Vincent Sitzmann

Language:PythonLicense:MITStargazers:836Issues:22Issues:42

edges

Structured Edge Detection Toolbox

Language:MatlabLicense:NOASSERTIONStargazers:818Issues:53Issues:35

3D-Gaussian-Splatting-Papers

3D高斯论文,持续更新,欢迎交流讨论。

DexiNed

DexiNed: Dense EXtreme Inception Network for Edge Detection

Language:PythonLicense:MITStargazers:715Issues:17Issues:116

DF-VO

Depth and Flow for Visual Odometry

Language:PythonLicense:MITStargazers:553Issues:20Issues:40

CV_Notes

「3D视觉(三维重建、SLAM、AR/VR) + 传统图像处理 + 计算机视觉(偏AI) 」重要知识点和面试问题。

Language:C++License:NOASSERTIONStargazers:439Issues:7Issues:1

DeepVO-pytorch

PyTorch Implementation of DeepVO

6d-object-pose-estimation

This repository summarizes papers and codes for 6D Object Pose Estimation.

VPS

Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

Language:PythonLicense:Apache-2.0Stargazers:165Issues:7Issues:40

EndoscopyDepthEstimation-Pytorch

Official Repo for the paper "Dense Depth Estimation in Monocular Endoscopy with Self-supervised Learning Methods" (TMI)

Language:PythonLicense:GPL-3.0Stargazers:126Issues:7Issues:37

DefSLAM

DefSLAM: Tracking and Mapping of Deforming Scenes from Monocular Sequences. J.Lamarca, S. Parashar, A. Bartoli & J.M.M. Montiel

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:103Issues:6Issues:12

NR-SLAM

NR-SLAM: Non-Rigid Monocular SLAM

Language:C++License:AGPL-3.0Stargazers:34Issues:3Issues:3

ArSDM

[MICCAI-2023] ArSDM: Colonoscopy Images Synthesis with Adaptive Refinement Semantic Diffusion Models

Language:PythonLicense:MITStargazers:26Issues:0Issues:0

LINGMI-MR

A geometry-aware deep network for depth estimation in monocular endoscopy

Language:PythonLicense:MITStargazers:26Issues:1Issues:8

PPSNet

PPSNet: Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos (ECCV, 2024)

ColonHoleDetect

Ongoing project. Detecting blind spots on colonoscopic surfaces.

Language:Jupyter NotebookStargazers:3Issues:0Issues:0

SSL4GIE

Official code repository for: A Study on Self-Supervised Pretraining for Vision Problems in Gastrointestinal Endoscopy

Language:PythonLicense:Apache-2.0Stargazers:2Issues:0Issues:0