Pinned Repositories
100-Days-Of-ML-Code
100-Days-Of-ML-Code中文版
Cloth_Change_Person_reID_Paper_List
Paper collection for cloth variation based person re-identification
CVPR2019-Code
CVPR 2019 Paper with Code
daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
MGCAM
Mask data and code for 'Mask-guided Contrastive Attention Model for Person Re-Identification' (CVPR-2018)
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Pytorch-Person-REID-Baseline-Bag-of-Tricks
A more simple and clear re-implementation of the strong person re-identification baseline (bag of tricks).
ReID-Survey
Deep Learning for Person Re-identification: A Survey and Outlook
reid-tutorial
person re-identification 修炼之旅。1. Pytorch 版本 ResNet 在 CIFAR10 上的复现 2. 论文 Beyond Part Models: Person Retrieval with Refined Part Pooling 复现
semseg
Semantic Segmentation in Pytorch
upgirlnana's Repositories
upgirlnana/algorithm017
upgirlnana/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, ... 🧠
upgirlnana/awesome
😎 Awesome lists about all kinds of interesting topics
upgirlnana/awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
upgirlnana/awesome-llm-and-aigc
A collection of some awesome public projects about Large Language Model, Vision Foundation Model and AI Generated Content.
upgirlnana/Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
upgirlnana/Awesome-person-re-identification-1
Awesome Person Re-identification
upgirlnana/CCAT
upgirlnana/ChatGLM-6B
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
upgirlnana/CLIP-ReID
upgirlnana/CoOp
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
upgirlnana/CV_Interview
I hope this repo can help you a lot!
upgirlnana/deep-person-search
deep-person-search: deep learning person search in PyTorch.
upgirlnana/deepcluster
Deep Clustering for Unsupervised Learning of Visual Features
upgirlnana/DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
upgirlnana/ECCV2020-Code
ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目
upgirlnana/GI-ReID
Code release for "Cloth-Changing Person Re-identification from A Single Image with GaitPrediction and Regularization". More files are coming soon.
upgirlnana/leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
upgirlnana/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
upgirlnana/occlusion_person
A dataset for multiview 3D human pose estimation with detailed occlusion labels, powered by UnrealCV
upgirlnana/Person_ReID_ClothChanging
upgirlnana/PlotNeuralNet
Latex code for making neural networks diagrams
upgirlnana/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
upgirlnana/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
upgirlnana/relation
upgirlnana/S-LoRA
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
upgirlnana/SYSU-MM01
Introduction and evaluation code for RGB-IR re-id dataset SYSU-MM01.
upgirlnana/TheAlgorithms-Python
TheAlgorithms/Python
upgirlnana/torch2trt
An easy to use PyTorch to TensorRT converter
upgirlnana/Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.