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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;

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-self-supervised-learning-papers

Awesome Self-supervised papers in CV, NLP, Graph, Recommendation, ML and so on.

bank_interview

:bank: 银行笔试面试经验分享及资料分享（help you pass the bank interview, and get a amazing bank offer!）

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

cae

This is a PyTorch implementation of “Context AutoEncoder for Self-Supervised Representation Learning"

cav-mae

Code and Pretrained Models for ICLR 2023 Paper "Contrastive Audio-Visual Masked Autoencoder".

co-training-based_noisy-label-learning

A unified framework for co-training-based noisy label learning methods.

codes_spectralformer

cvpr2022-paper-code-interpretation

cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

dcfsl-2021

Deep Cross-domain Few-shot Learning for Hyperspectral Image Classification

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

deephyperx

Deep learning toolbox based on PyTorch for hyperspectral data classification.

deeplearning

深度学习入门教程

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[email protected] 版权所有，违权必究 Tan 2018.06

deepnrd

Source code of "Neighboring Region Dropout for Hyperspectral Image Classification"

demo_dffn

The code implementation of our paper "Hyperspectral Image Classification With Deep Feature Fusion Network", TGRS, 2018.

demo_igarss

IGARSS2018

density-peak-based-noisy-label-detection-for-hyperspectral-image-classification

This code is for our paper "Density Peak-based Noisy Label Detection for Hyperspectral Image Classification". If you use this code, please kindly cite our paper: Bing Tu, Xiaofei Zhang, Xudong Kang, Guoyun Zhang and Shutao Li, "Density Peak-Based Noisy Label Detection for Hyperspectral Image Classification," in IEEE Transactions on Geoscience and Remote Sensing, vol. 57, no. 3, pp. 1573-1584, Mar. 2019. If you have any questions, please contact us. Email: [email protected].

detectors

DetectoRS: Detecting Objects with Recursive Feature Pyramid and Switchable Atrous Convolution

dfsl-for-hyperspectral-image-classification

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

efficient-segmentation-networks

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

face-hallucination-benchmark

A collection of state-of-the-art face super-resolution/hallucination methods

fewshot-egnn