dyhan0920

PyramidNet-PyTorch

A PyTorch implementation for PyramidNets (Deep Pyramidal Residual Networks, https://arxiv.org/abs/1610.02915)

densenet-pytorch

A PyTorch Implementation for Densely Connected Convolutional Networks (DenseNets)

PyramidNet

Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).

.tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

autogluon

AutoGluon: AutoML Toolkit for Deep Learning

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

do-you-even-need-attention

Exploring whether attention is necessary for vision transformers

examples

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

Gated-Convolutional-Networks

A PyTorch implementation of : Language Modeling with Gated Convolutional Networks.

mcnSSD

A matconvnet implementation of the Single Shot Detector

mixup-cifar10

mixup: Beyond Empirical Risk Minimization

mmdetection

OpenMMLab Detection Toolbox and Benchmark

MobileNetV2-pytorch

Impementation of MobileNetV2 in pytorch

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

NeglectedFreeLunch

PfLayer

Learning Features with Parameter-Free Layers, ICLR 2022

pit

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch-Darknet53

PyTorch implementation of Darknet53

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

PytorchSSD

pytorch version of SSD and it's enhanced methods such as RFBSSD,FSSD and RefineDet

relabel_imagenet

rethinking_bottleneck_design

rexnet

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

StatAssist-GradBoost

A Study on Optimal INT8 Quantization-aware Training from Scratch

ViLT

Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

vision

Datasets, Transforms and Models specific to Computer Vision

Xception-PyTorch

A PyTorch implementation of Xception: Deep Learning with Depthwise Separable Convolutions