LLD2's Stars
diff-usion/Awesome-Diffusion-Models
A collection of resources and papers on Diffusion Models
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
facebookresearch/flores
Facebook Low Resource (FLoRes) MT Benchmark
visionml/pytracking
Visual tracking library based on PyTorch.
STVIR/pysot
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
facebookresearch/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
o0o0o0o0o0o0o/image-processing-from-scratch
This project contains some interesting image processing algorithms that were wrote in python and c++ from scratch.
fh2019ustc/DocTr-Plus
The official code for “Deep Unrestricted Document Image Rectification”, TMM, 2023.
fh2019ustc/PolySnake
The official code for “Recurrent Generic Contour-based Instance Segmentation with Progressive Learning”, TCSVT, 2024.
fh2019ustc/DocGeoNet
The official code for “Geometric Representation Learning for Document Image Rectification”, ECCV, 2022.
fh2019ustc/Awesome-Document-Image-Rectification
A comprehensive list of awesome document image rectification papers.
fh2019ustc/DocScanner
The official repo for “DocScanner: Robust Document Image Rectification with Progressive Learning”.
G-U-N/ECCV22-FOSTER
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
TommyZihao/zihao_course
同济子豪兄的公开课
maoyunyao/CMD
Official implementation of the ECCV 2022 paper "CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation"
G-U-N/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
DarLiner/Algorithm_Interview_Notes-Chinese
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
xiezhangxiang/CCF-Video-Detection
landlee001/Video-infringement-detection
source codes of CCF BDCI champion team
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
nndl/solutions
《神经网络与深度学习》课后习题答案-分享讨论
fh2019ustc/DocTr
The official code for “DocTr: Document Image Transformer for Geometric Unwarping and Illumination Correction”, ACM MM, Oral Paper, 2021.