K-Yonhon's repositories
TD3
Author's PyTorch implementation of TD3 for OpenAI gym tasks
noreward-rl
[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning
RL_course_2019
RL Course at Chula
ml-agents
Unity Machine Learning Agents Toolkit
rainbow
Implementation of Rainbow paper sans distributional RL as part of Reinforcement Learning course at Chula 2019
Keras-GAN
Keras implementations of Generative Adversarial Networks.
yacreader
This repo contains the code of YACReader's desktop version.
Berry
Berry is multiplatform and modern image viewer, focused on better user interface...
limoo
Limoo is multiplatform and modern image viewer, focused on better user interface...
tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
quantum-native-dojo
量子コンピュータ初学者のための自習教材
DRAGAN-keras
美少女を作りたい
SphereGAN-Tensorflow
Simple Tensorflow implementation of SphereGAN (CVPR 2019 Oral)
drlbox
Interfacing RL agents with user-definable neural networks and OpenAI-gym environments.
progressive_growing_of_gans
Progressive Growing of GANs for Improved Quality, Stability, and Variation
GAN_stability
Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"
Keras-SRGAN
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Illustration-Generator
Illustartion Generation with using GANs
conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning
MSGAN
MSGAN: Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis (CVPR2019)
pandas-handson
Pandas ハンズオン用のリポジトリ
cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
kaggle-api
Official Kaggle API
deep-learning-from-scratch
『ゼロから作る Deep Learning』のリポジトリ
Deep-RL-Keras
Keras Implementation of popular Deep RL Algorithms (A3C, DDQN, DDPG, Dueling DDQN)
crystalhd
Broadcom Crystal HD Hardware Decoder (BCM70012/70015) driver on Ubuntu
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"