jeonghyunho Goto Github PK
Name: Jeong, Hyunho
Type: User
Company: KAIST
Location: Daejeon, Korea
Name: Jeong, Hyunho
Type: User
Company: KAIST
Location: Daejeon, Korea
This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
Michael T. Goodrich, Robert Tamassia, and Michael H. Goldwasser, "Data Structure and Algorithms in Python"
Deep Variational Reinforcement Learning
TensorFlow impementation of: Embed to Control: A Locally Linear Latent Dynamics Model for Control from Raw Images
Tools to load, process and visualize motion capture data
Torch based gaussian mixture reduction algorithms
Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
A content-first, sliding sidebar theme for Jekyll.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
Learning Concurrency in Python by Packt
Code for visualizing the loss landscape of neural nets
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
Implementation of MOSSE tracker in MATLAB: Visual Object Tracking using Adaptive Correlation Filters (CVPR 2010)
Arduino sketches for MPU9250 9DoF with AHRS sensor fusion
Arduino library for communicating with the InvenSense MPU-9250 and MPU-9255 nine-axis IMUs.
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
Latex code for making neural networks diagrams
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).
PyTorch implementations of Generative Adversarial Networks.
Pytorch implementation of set transformer
simple character deepmimic
An educational resource to help anyone learn deep reinforcement learning.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Code for Swampy, a set of modules used in Think Python, first edition
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.