Tomingz

CVPR2023-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

optuna

A hyperparameter optimization framework

stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

stylegan2-pytorch

Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

YOLOv5-Lite

🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~

NAFNet

The state-of-the-art image restoration model without nonlinear activation functions.

LibMTL

A PyTorch Library for Multi-Task Learning

TransGAN

[NeurIPS‘2021] "TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up", Yifan Jiang, Shiyu Chang, Zhangyang Wang

gansformer

Generative Adversarial Transformers

optuna-examples

Examples for https://github.com/optuna/optuna

SAN

Second-order Attention Network for Single Image Super-resolution (CVPR-2019)

IMDN

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019, Winner Award of ICCVW AIM 2019 Constrained SR Track1&Track2)

offsite-tuning

Offsite-Tuning: Transfer Learning without Full Model

leo

Implementation of Meta-Learning with Latent Embedding Optimization

LEDNet

[ECCV 2022] LEDNet: Joint Low-light Enhancement and Deblurring in the Dark

RepAdapter

Official implementation of "Towards Efficient Visual Adaption via Structural Re-parameterization".

AFFormer

splinecam

Exact method for visualizing partitions of a Deep Neural Network, CVPR 2023 Highlight

pytorch-leo

Pytorch Implemtation of Meta-Learning with Latent Embedding Optimization

PA-DA

[CVPR '23] PA&DA: Jointly Sampling PAth and DAta for Consistent NAS

MC-Blur-Dataset

AM-LFS-PyTorch

The reproduce for "AM-LFS: AutoML for Loss Function Search"

Attention-Neural-Architecture-Search

Undergraduate Thesis

Spatial-Steganalysis-Based-on-Gradient-Based-Neural-Architecture-Search

Coronavirus_Tweets_NLP

Using the Coronavirus Tweets NLP data set from Kaggle https://www.kaggle.com/datatattle/covid-19-nlp-text-classification to predict the sentiment of Tweets relevant to Covid. The data set (Corona_NLP_test.csv file) contains 6 attributes.

Clasificador

covid19-data-mining1

Repository for publishing this data mining project. #Python #

Res_SCA

NLP

Text classification problems using wording embedding, sentence embeddings

ContinualLearningForSteganalysis