Pinned Repositories
adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe
baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
conda
Specifying a conda environment with `environment.yml`
DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
deep-makeover
Deep learning project to transform male portraits into female and vice versa
DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
yellowlab9's Repositories
yellowlab9/adversarial
Code and hyperparameters for the paper "Generative Adversarial Networks"
yellowlab9/alpha-zero-general
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe
yellowlab9/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
yellowlab9/conda
Specifying a conda environment with `environment.yml`
yellowlab9/DataScience
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
yellowlab9/deep-makeover
Deep learning project to transform male portraits into female and vice versa
yellowlab9/DQN-tensorflow
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
yellowlab9/EDSR-PyTorch
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
yellowlab9/examples
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
yellowlab9/FinRL-Tutorials
Tutorials. Please star.
yellowlab9/genadv_tutorial
TensorFlow tutorial on Generative Adversarial Models
yellowlab9/Generative-Adversarial-Networks
Tutorial on GANs
yellowlab9/getRDE
yellowlab9/introduction-to-python-for-computational-science-and-engineering
Book: Introduction to Python for Computational Science and Engineering
yellowlab9/julia-mit
Tutorials and information on the Julia language for MIT numerical-computation courses.
yellowlab9/lecture-datascience.myst
Source repository for QuantEcon Datascience
yellowlab9/lecture-datascience.notebooks
Notebooks for datascience.quantecon.org
yellowlab9/NTIRE2017
Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"
yellowlab9/Photo-Realistic-Super-Resoluton
Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
yellowlab9/python-novice-inflammation
Programming with Python
yellowlab9/python-programming-for-data-science
Content from the University of British Columbia's Master of Data Science course DSCI 511.
yellowlab9/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
yellowlab9/reinforcement-learning-an-introduction
Python code for Reinforcement Learning: An Introduction
yellowlab9/Single-Image-Super-Resolution
A collection of high-impact and state-of-the-art SR methods
yellowlab9/SRGAN
Implementation of [Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802v2]
yellowlab9/SRGAN-1
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
yellowlab9/street_view_house_numbers
Explored CNNs with TensorFlow to create models for cropped single-digit and original multi-digit images from SVHN dataset.
yellowlab9/uddeep
Udacity Deep Learning Lecture Notes