Name: Yul Kang
Type: User
Company: KAIST
Bio: Assistant Professor, Bio and Brain Engineering, KAIST; Cognitive computational neuroscience of decision-making under uncertainty
Twitter: YulKang1
Location: Daejeon, South Korea
Blog: yulkanglab.org
Yul Kang's Projects
Psychophysics Toolbox Version 3 (PTB-3) is a free set of Matlab and GNU Octave functions for vision and neuroscience research.
PyTorch Agent Net: reinforcement learning toolkit for pytorch
2D and 3D maths module for Python
Pylab-style utilities for PyTorch and Matplotlib, among others.
Deep universal probabilistic programming with Python and PyTorch
Python MIDI library
Python sample codes for robotics algorithms.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Pytorch code to construct a 3D point cloud model from single RGB image.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
The lightweight PyTorch wrapper for ML researchers. Scale your models. Write less boilerplate
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Pseudo API for Google Trends
Proposes neural networks that can generate animation of virtual characters for different actions.
A Simple Python 3D Graphics Engine extension for Pyglet, Psychopy, and PyGame.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Pytorch implementation of Hyperspherical Variational Auto-Encoders
scikit-learn: machine learning in Python
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.17
Cleaned version of the PTAM simulation
A scikit-learn compatible neural network library that wraps PyTorch
SLAM programms
Official repository for Spyder - The Scientific PYthon Development EnviRonment