Myeongjun Kim's repositories
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
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
Action-Localization
Action-Localization, Atomic Visual Actions (AVA) Dataset
Bag-of-MLP
Bag of MLP
AssembleNet
Implementing AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Explain using Pytorch
DiffusionModel
Re-implementating Diffusion model using Pytorch
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.
Transformer
Implementing Attention Is All You Need paper. Transformer Model
minimal-segmentation
minimal-segmentation
pytorch-faster-rcnn
pytorch1.0 updated. Support cpu test and demo.