Myeongjun Kim

DiffusionModel. Re-implementating Diffusion model using Pytorch

UACANet. Official PyTorch implementation of UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation (ACMMM 2021)

Bag-of-MLP. Bag of MLP

BottleneckTransformers. Bottleneck Transformers for Visual Recognition

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

CLIP. CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

football-paris. The exact codes used by the team "liveinparis" at the kaggle football competition ranked 6th/1141

SimSiam. Exploring Simple Siamese Representation Learning

Phasic-Policy-Gradient. Phasic-Policy-Gradient

DeepRL. Modularized Implementation of Deep RL Algorithms in PyTorch

DNA. (CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

minimal-BERT. Bidirectional Encoder Representations from Transformers

LambdaNetworks. Implementing Lambda Networks using Pytorch

datasets. 🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

minimal-stylegan. Python

PSPNet. Implementing Pyramid Scene Parsing Network (PSPNet) paper using Pytorch

minimal-cyclegan. Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

minimal-segmentation. minimal-segmentation

bag-of-rl. Bag of Reinforcement Learning Algorithm

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

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

detr. End-to-End Object Detection with Transformers

google-research. Google Research

deep_rl. PyTorch implementation of deep reinforcement learning algorithms

24h-Naver2018AIHack-Vision. "24시간이모자라" 팀의 Naver AI Hackathon 2018 코드 및 기록입니다.

Samsung-DRL-Code. A repository for implementation of deep reinforcement learning lectured at Samsung

pytorch-multigpu. Multi GPU Training Code for Deep Learning with PyTorch

mmaction. An open-source toolbox for action understanding based on PyTorch

ActivityNet. This repository is intended to host tools and demos for ActivityNet

Mixed-Depthwise-Convolutional-Kernels. Implementing MixNet: Mixed Depthwise Convolutional Kernels using Pytorch

football. Check out the new game server:

Action-Localization. Action-Localization, Atomic Visual Actions (AVA) Dataset

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

xlnet. XLNet: Generalized Autoregressive Pretraining for Language Understanding

Graph-Convolutional-Network. Python

pytorch-faster-rcnn. pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

minimalRL. Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

Transformer. Implementing Attention Is All You Need paper. Transformer Model

MobileNetV3-Pytorch. Implementing Searching for MobileNetV3 paper using Pytorch

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

DenseNet_tensorflow. tensorflow implementation of Densely Connected Convolutional Networks

GAKI-CS-Study. 알고리즘/자료구조/운영체제/데이터베이스/CS기초

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

Deep-Reinforcement-Learning-Hands-On. Hands-on Deep Reinforcement Learning, published by Packt

gpt-2. Code for the paper "Language Models are Unsupervised Multitask Learners"

Attention-Augmented-Conv2d. Implementing Attention Augmented Convolutional Networks using Pytorch

gym. A toolkit for developing and comparing reinforcement learning algorithms.

wide-resnet.pytorch. Best CIFAR-10, CIFAR-100 results with wide-residual networks using PyTorch

hiddenlayer. Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.

CVdevKit. PyTorch Computer Vision Foundation

RandWire_tensorflow. tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Kakao-Arena-2019. kakao shopping classification competition (6th place)

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

Youngjun-iOS-Studio. iOS 스터디

baselines. OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

Algorithm-with-Swift. Swift/DataStructure/Algorithm/BaekJoon/Programmers

Algorithm. Algorithm

Naver-AI-Hackathon-2018. 영화 평점 예측 모델 (2위 수상)

TorchCraftAI. A platform that lets you build agents to learn to play StarCraft: Brood War.

tf-cpn. [CVPR 2018] Cascaded Pyramid Network for Multi-Person Pose Estimation

reinforcement-learning. Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Deep-Learning-Study. 딥러닝 스터디

DeepLearningZeroToAll. TensorFlow Basic Tutorial Labs

ARKit-Study. ARKit/SceneKit/SpriteKit/Metal Study

pysc2-examples. StarCraft II - pysc2 Deep Reinforcement Learning Examples

Kaggle_KR. 2018 공개 소프트웨어 컨트리뷰톤 - 캐글 속 커널 한글화 작업을 통한 데이터 사이언스 대중화 프로젝트

DeepLearningZeroToAll. TensorFlow Basic Tutorial Labs