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condconv-pytorch

Implementation of CondConv: Conditionally Parameterized Convolutions for Efficient Inference in PyTorch.

deep-residual-networks

Deep Residual Learning for Image Recognition

deformable-kernels

Deforming kernels to adapt towards object deformation. To appear in ICLR 2020.

dynamic-vision-transformer

Accelerating T2t-ViT by 1.6-3.6x.

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

getup

a script to document getup time everyday

img_classification_pk_pytorch

img_classification_pk_pytorch-1

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

imta

isda-for-deep-networks

An efficient implicit semantic augmentation method, complementary to existing non-semantic techniques.

learngit

mmdetection

OpenMMLab Detection Toolbox and Benchmark

modelarts_tutorial_pytorch

msdnet-pytorch

MSDNet

nn_tools

Neural Network Tools: Converter and Analyzer. For caffe, pytorch, draknet and so on.

pytorchtocaffe

Pytorch model to caffe model, supported pytorch 0.3, 0.3.1, 0.4, 0.4.1 ,1.0 , 1.0.1 , 1.2 ,1.3 .notice that only pytorch 1.1 have some bugs

schedule

situation-and-policy-answer-key

**大学MOOC 形式与政策 测试与作业答案（更新完毕）

starter-hugo-academic

tood

TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral

transfg

This is the official PyTorch implementation of the paper "TransFG: A Transformer Architecture for Fine-grained Recognition" (Ju He, Jie-Neng Chen, Shuai Liu, Adam Kortylewski, Cheng Yang, Yutong Bai, Changhu Wang, Alan Yuille).

vision

Datasets, Transforms and Models specific to Computer Vision

yifanpu001.github.io