chamwen's Stars
Anduin2017/HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).
scutan90/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
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
huggingface/pytorch-image-models
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
lucidrains/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
PaddlePaddle/PaddleClas
A treasure chest for visual classification and recognition powered by PaddlePaddle
649453932/Bert-Chinese-Text-Classification-Pytorch
使用Bert，ERNIE，进行中文文本分类
Tramac/awesome-semantic-segmentation-pytorch
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
MenghaoGuo/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
CoinCheung/pytorch-loss
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
cure-lab/LTSF-Linear
[AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"
zhongqiangwu960812/AI-RecommenderSystem
该仓库尝试整理推荐系统领域的一些经典算法模型
datamllab/tods
TODS: An Automated Time-series Outlier Detection System
ZhiningLiu1998/awesome-imbalanced-learning
😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
fahadshamshad/awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
wyharveychen/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
mli/transformers-benchmarks
real Transformer TeraFLOPS on various GPUs
lukemelas/PyTorch-Pretrained-ViT
Vision Transformer (ViT) in PyTorch
tim-learn/awesome-test-time-adaptation
Collection of awesome test-time (domain/batch/instance) adaptation methods
thuml/Anomaly-Transformer
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
jiwidi/time-series-forecasting-with-python
A use-case focused tutorial for time series forecasting with python
NVlabs/DeepInversion
Official PyTorch implementation of Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion (CVPR 2020)
jiawei-ren/BalancedMSE
[CVPR 2022 Oral] Balanced MSE for Imbalanced Visual Regression https://arxiv.org/abs/2203.16427
Fei-Long121/DeepBDC
The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).
Phoenix1153/ViT_OOD_generalization
jfpuget/STFT_Transformer
Code for STFT Transformer used in BirdCLEF 2021 competition.
fiveai/LAME
This code accompanies the paper "Parameter-free Online Test-time Adaptation".
chamwen/NT-Benchmark
A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381
Chris210634/PACE-Domain-Adaptation