leaderj1001

Attention-Augmented-Conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

Stand-Alone-Self-Attention

Implementing Stand-Alone Self-Attention in Vision Models using Pytorch

MobileNetV3-Pytorch

Implementing Searching for MobileNetV3 paper using Pytorch

BottleneckTransformers

Bottleneck Transformers for Visual Recognition

LambdaNetworks

Implementing Lambda Networks using Pytorch

Billion-scale-semi-supervised-learning

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

RandWireNN

Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 dataset

CLIP

CLIP: Connecting Text and Image (Learning Transferable Visual Models From Natural Language Supervision)

Synthesizer-Rethinking-Self-Attention-Transformer-Models

Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using Pytorch

Mixed-Depthwise-Convolutional-Kernels

Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch

SimSiam

Exploring Simple Siamese Representation Learning

Action-Localization

Action-Localization, Atomic Visual Actions (AVA) Dataset

Bag-of-MLP

Bag of MLP

PSPNet

Implementing Pyramid Scene Parsing Network (PSPNet) paper using Pytorch

AssembleNet

Implementing AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Explain using Pytorch

DiffusionModel

Re-implementating Diffusion model using Pytorch

OmniNet

OmniNet: Omnidirectional Representations from Transformers

bag-of-rl

Bag of Reinforcement Learning Algorithm

Graph-Convolutional-Network

Phasic-Policy-Gradient

Phasic-Policy-Gradient

minimal-BERT

Bidirectional Encoder Representations from Transformers

minimal-cyclegan

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Vision-Language

Vision-Language, Solve GQA(Visual Reasoning in the Real World) dataset.

minimal-stylegan

Transformer

Implementing Attention Is All You Need paper. Transformer Model

minimal-segmentation

minimal-segmentation

SlowFast

SlowFast Network

detr

End-to-End Object Detection with Transformers

mmaction

pytorch-faster-rcnn

pytorch1.0 updated. Support cpu test and demo.