tly18

tly18's Stars

• microsoft/DeepSpeed

  DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

  Language:Python36k3472.9k4.2k

• Kotlin/anko

  Pleasant Android application development

  Language:Kotlin15.9k5316171.3k

• jindongwang/transferlearning

  Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  Language:Python13.6k3403413.8k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python10.9k454201.6k

• JetBrains/kotlinconf-app

  KotlinConf Schedule Application

  Language:Kotlin3k13795320

• FLHonker/Awesome-Knowledge-Distillation

  Awesome Knowledge-Distillation. 分类整理的知识蒸馏paper(2014-2021)。

  2.5k6112336

• shiyutim/tickets

  大麦、大麦网 演唱会抢票软件，一个基于 tauri + rust + vue 调用接口的抢票软件。

  Language:Vue2.4k13155351

• OpenStitching/stitching

  A Python package for fast and robust Image Stitching

  Language:Python2.2k18103165

• Harry24k/adversarial-attacks-pytorch

  PyTorch implementation of adversarial attacks [torchattacks]

  Language:Python1.9k19149354

• hendrycks/robustness

  Corruption and Perturbation Robustness (ICLR 2019)

  Language:Python1k1455145

• KaiyangZhou/pytorch-center-loss

  Pytorch implementation of Center Loss

  Language:Python975827219

• jia-zhuang/pytorch-multi-gpu-training

  整理 pytorch 单机多 GPU 训练方法与原理

  Language:Python7865884

• tengshaofeng/ResidualAttentionNetwork-pytorch

  a pytorch code about Residual Attention Network. This code is based on two projects from

  Language:Python6821040167

• kushalvyas/Python-Multiple-Image-Stitching

  Implementation of multiple image stitching

  Language:Python625220196

• hendrycks/natural-adv-examples

  A Harder ImageNet Test Set (CVPR 2021)

  Language:Python596121452

• yaodongyu/TRADES

  TRADES (TRadeoff-inspired Adversarial DEfense via Surrogate-loss minimization)

  Language:Python5231028124

• jxgu1016/MNIST_center_loss_pytorch

  A PyTorch implementation of center loss on MNIST

  Language:Python360102187

• nie-lang/DeepRectangling

  CVPR2022 (Oral) - Deep Rectangling for Image Stitching: A Learning Baseline

  Language:Python24642540

• csdongxian/AWP

  Codes for NeurIPS 2020 paper "Adversarial Weight Perturbation Helps Robust Generalization"

  Language:Python1743419

• YisenWang/MART

  Code for ICLR2020 "Improving Adversarial Robustness Requires Revisiting Misclassified Examples"

  Language:Python1442914

• hcguoO0/FIA

  code for "Feature Importance-aware Transferable Adversarial Attacks"

  Language:Python7931915

• JinkaiZheng/awesome-adversarial-attack-and-defense-papers

  63303

• lesliejackson/PyTorch-Distributed-Training

  Example of PyTorch DistributedDataParallel

  Language:Python602424

• liudaizong/Residual-Attention-Network

  Language:Python39109

• haoxintong/ResidualAttentionNetwork-Gluon

  ReImplementation of "Residual Attention Network for Image Classification" with MXNet Gluon.

  Language:Python26313

• ALIS-Lab/AAAI2021-PDD

  Language:Python9101

• apletta/OpenCV-Projects

  Language:Python7201

• mzc421/hardware

  使用硬件实现相对应的功能

  Language:C51025

• Shuilin123/Fundamentals-of-deep-learning

  This project aims to give beginners an understanding of some common machine learning algorithms. And implement these algorithms from the bottom up

  Language:Python20

• kaus-rai/Conditional-VAE

  Language:Python1100