zuzi2015's repositories
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
-PyTorch-
【PyTorch】手把手教你跑通第一个神经网络
annotated_deep_learning_paper_implementations
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-multiple-object-tracking
Paper List for Multiple Object Tracking(MOT)
CS131_release
Released assignments for the Stanford's CS131 course on Computer Vision.
Data-Science-Notes
数据科学的笔记以及资料搜集
deeplearning-note
Deep Learning Note: tutorial, documentation, code links, etc...
deepMOT
Official Implementation of How To Train Your Deep Multi-Object Tracker
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
FastMOT
High-performance multiple object tracking based on YOLO, Deep SORT, and KLT 🚀
labelImg
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images
machine-learning-toy-code
《机器学习》（西瓜书）代码实战
mmdetection
OpenMMLab Detection Toolbox and Benchmark
mmrazor
OpenMMLab Model Compression Toolbox and Benchmark.
Opencv-project
Awesome Opencv Project
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytracking
Visual tracking library based on PyTorch.
Single_Object_Tracking_Paper_List
Paper list for single object tracking (State-of-the-art SOT trackers)
Target_tracking
基于SIAMRPN网络模型的单目标追踪的实现 -- 主要针对OTB数据集
team-learning
主要展示Datawhale的组队学习计划。
Towards-Realtime-MOT
Joint Detection and Embedding for fast multi-object tracking
TrackEval
HOTA (and other) evaluation metrics for Multi-Object Tracking (MOT).
yoltv4
Better, faster, peering over yonder. Improved large scale object detection in aerial/satellite imagery.