leaderj1001

Attention-Augmented-Conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

Billion-scale-semi-supervised-learning

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

BottleneckTransformers

Bottleneck Transformers for Visual Recognition

CLIP

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

LambdaNetworks

Implementing Lambda Networks using Pytorch

Mixed-Depthwise-Convolutional-Kernels

Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch

MobileNetV3-Pytorch

Implementing Searching for MobileNetV3 paper using Pytorch

RandWireNN

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

Stand-Alone-Self-Attention

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

Synthesizer-Rethinking-Self-Attention-Transformer-Models

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

leaderj1001/Attention-Augmented-Conv2d

Implementing Attention Augmented Convolutional Networks using Pytorch

leaderj1001/Stand-Alone-Self-Attention

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

leaderj1001/MobileNetV3-Pytorch

Implementing Searching for MobileNetV3 paper using Pytorch

leaderj1001/BottleneckTransformers

Bottleneck Transformers for Visual Recognition

leaderj1001/LambdaNetworks

Implementing Lambda Networks using Pytorch

leaderj1001/Billion-scale-semi-supervised-learning

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

leaderj1001/RandWireNN

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

leaderj1001/CLIP

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

leaderj1001/Synthesizer-Rethinking-Self-Attention-Transformer-Models

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

leaderj1001/Mixed-Depthwise-Convolutional-Kernels

Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch

leaderj1001/SimSiam

Exploring Simple Siamese Representation Learning

leaderj1001/Action-Localization

Action-Localization, Atomic Visual Actions (AVA) Dataset

leaderj1001/Bag-of-MLP

Bag of MLP

leaderj1001/PSPNet

Implementing Pyramid Scene Parsing Network (PSPNet) paper using Pytorch

leaderj1001/AssembleNet

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

leaderj1001/DiffusionModel

Re-implementating Diffusion model using Pytorch

leaderj1001/OmniNet

OmniNet: Omnidirectional Representations from Transformers

leaderj1001/bag-of-rl

Bag of Reinforcement Learning Algorithm

leaderj1001/Graph-Convolutional-Network

leaderj1001/Phasic-Policy-Gradient

Phasic-Policy-Gradient

leaderj1001/minimal-BERT

Bidirectional Encoder Representations from Transformers

leaderj1001/minimal-cyclegan

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

leaderj1001/Vision-Language

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

leaderj1001/minimal-stylegan

leaderj1001/Transformer

Implementing Attention Is All You Need paper. Transformer Model

leaderj1001/minimal-segmentation

minimal-segmentation

leaderj1001/SlowFast

SlowFast Network

leaderj1001/detr

End-to-End Object Detection with Transformers

leaderj1001/mmaction

leaderj1001/pytorch-faster-rcnn

pytorch1.0 updated. Support cpu test and demo.