Limitlessun's Stars
pytorch/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
MustangYM/WeChatExtension-ForMac
A plugin for Mac WeChat
ShusenTang/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
chenyuntc/pytorch-book
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch:入门与实战》)
eriklindernoren/PyTorch-YOLOv3
Minimal PyTorch implementation of YOLOv3
thuml/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
fendouai/PyTorchDocs
PyTorch 官方中文教程包含 60 分钟快速入门教程,强化教程,计算机视觉,自然语言处理,生成对抗网络,强化学习。欢迎 Star,Fork!
filipradenovic/cnnimageretrieval-pytorch
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
blaisewang/img2latex-mathpix
Mathpix has changed their billing policy and no longer has free monthly API requests. This repo is now archived and will not receive any updates for the foreseeable future.
hengyuan-hu/bottom-up-attention-vqa
An efficient PyTorch implementation of the winning entry of the 2017 VQA Challenge.
Cadene/vqa.pytorch
Visual Question Answering in Pytorch
CosmiQ/yolt
You Only Look Twice: Rapid Multi-Scale Object Detection In Satellite Imagery
jokieleung/awesome-visual-question-answering
A curated list of Visual Question Answering(VQA)(Image/Video Question Answering),Visual Question Generation ,Visual Dialog ,Visual Commonsense Reasoning and related area.
P2333/Papers-of-Robust-ML
Related papers for robust machine learning
jnhwkim/ban-vqa
Bilinear attention networks for visual question answering
facebookarchive/adversarial_image_defenses
Countering Adversarial Image using Input Transformations.
locuslab/fast_adversarial
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
Cadene/block.bootstrap.pytorch
BLOCK (AAAI 2019), with a multimodal fusion library for deep learning models
KaihuaTang/VQA2.0-Recent-Approachs-2018.pytorch
A pytroch reimplementation of "Bilinear Attention Network", "Intra- and Inter-modality Attention", "Learning Conditioned Graph Structures", "Learning to count object", "Bottom-up top-down" for Visual Question Answering 2.0
KunpengLi1994/VSRN
PyTorch code for ICCV'19 paper "Visual Semantic Reasoning for Image-Text Matching"
Cyanogenoid/vqa-counting
[ICLR 2018] Learning to Count Objects in Natural Images for Visual Question Answering
linjieli222/VQA_ReGAT
Research Code for ICCV 2019 paper "Relation-aware Graph Attention Network for Visual Question Answering"
lancopku/AdaMod
Adaptive and Momental Bounds for Adaptive Learning Rate Methods.
cihangxie/NIPS2017_adv_challenge_defense
Mitigating Adversarial Effects Through Randomization
hanzhaoml/MDAN
Demo code for the MDAN paper.
tbmoon/basic_vqa
Pytorch VQA : Visual Question Answering (https://arxiv.org/pdf/1505.00468.pdf)
noagarcia/keras_rmac
RMAC implementation in Keras
P2333/Mixup-Inference
Further improve robustness of mixup-trained models in inference (ICLR 2020)
theFool32/UAP_retrieval
The project page of paper: Universal Perturbation Attack Against Image Retrieval [ICCV 2019]
gtolias/tma
Targeted Mismatch Adversarial Attack