Keumgang Cha

dinov2-remote-sensing. Implementation dino v2 for remote sensing with huggingface transformers

IMPALA-Scalable-Distributed-Deep-RL-with-Importance-Weighted-Actor-Learner-Architectures. Python

awesome-vision-language-models-for-earth-observation. A curated list of awesome vision and language resources for earth observation.

pytorch-quantization-demo. A simple network quantization demo using pytorch from scratch.

1day_1paper. read 1 paper everyday (only weekday)

Automatic-Image-Captioning. A neural network architecture(CNN+LSTM) that automatically generates captions from the images. The model uses ResNet architecture to train the Encoder while DecoderRNN has to be trained with our choice of trainable parameters. I have trained the model on the Microsoft Common Objects in COntext (MS COCO) dataset and have tested the network on fictitious images!

CAM. Class Activation Map with Pytorch

DistilKoBERT. Distillation of KoBERT from SKTBrain (Lightweight KoBERT)

tensorflow_object_detection_helper_tool. tensorflow object detection api helper tool ( custom object detection )

CBIR. 🏞 A content-based image retrieval (CBIR) system

deep_rl. PyTorch implementation of deep reinforcement learning algorithms

Reinforcement-Learning-Pytorch-Cartpole. Simple Cartpole example writed with pytorch.

pysc2-replay. Framework for inspecting actions and observatinos in StarCraftII replays

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

pysc2-agents. This is a simple implementation of DeepMind's PySC2 RL agents.

SC2Agents. StarCraft 2 playing agents implemented for the PySC2 API

Relational_Deep_Reinforcement_Learning. Python

Relation-Network-PyTorch. Implementation of Relation Network and Recurrent Relational Network using PyTorch v1.3. Original papers: (RN) https://arxiv.org/abs/1706.01427 (RRN): https://arxiv.org/abs/1711.08028

SPIRAL-tensorflow. in progress

pytorch-IMPALA. Pytorch version implementation of IMPALA. Haven't been finished

RL-Implementation-IMPALA. A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

ray. Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

spinning_up_kr. Python

A3C-Tensorflow. Simple Example A3C Reinforcement Learning Algorithm in Tensorflow

Ape-X. PyTorch Implementation of Distributed Prioritized Experience Replay(Ape-X)

distper. Distributed Priortized Experience Replay

DRL. Repository for codes of 'Deep Reinforcement Learning'

tensorflow_RL. Python

rl_algorithms. Structural implementation of RL key algorithms

clip-as-service. 🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

Awesome-Korean-NLP-Papers. This repository provides list of Korean NLP papers.

nlp-challenge. NLP Shared tasks (NER, SRL) using NSML

MARL-Papers. Paper list of multi-agent reinforcement learning (MARL)

CS224N_17_KOR_SUB. CS224d 2017 video subtitles translation project for everyone

One-shot-Relational-Learning. Code for One-shot Relational Learning for Knowledge Graphs (EMNLP18)

DL-for-Chatbot. Deep Learning / NLP tutorial for Chatbot Developers

Unity_ML_Agents_Tutorial. C#

doc2vec_tf. Doc2Vec implementation in tensorflow.

transformer. A TensorFlow Implementation of the Transformer: Attention Is All You Need

nlp-tensorflow. NLP Tensorflow Tutorials

distributional_rl. Repository for studying distributional rl

pg_travel. Policy Gradient algorithms (REINFORCE, NPG, TRPO, PPO)

custom_object_detection. custom object detection tutorial with tensorflow object detection api

Reinforcement_Learning. 강화학습에 대한 기본적인 알고리즘 구현

RosettaStone. Hearthstone simulator using C++ with some reinforcement learning