Jeong, Hyunho's repositories
GaussianMixtureReduction
Torch based gaussian mixture reduction algorithms
backpack
BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
Data-Structures-and-Algorithms-in-Python
Michael T. Goodrich, Robert Tamassia, and Michael H. Goldwasser, "Data Structure and Algorithms in Python"
DVRL
Deep Variational Reinforcement Learning
fairmotion
Tools to load, process and visualize motion capture data
hbp
Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
homework_fall2020
Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)
JeongHyunho.github.io
A content-first, sliding sidebar theme for Jekyll.
Kalman-and-Bayesian-Filters-in-Python
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.
KFAC-Pytorch
Pytorch implementation of KFAC and E-KFAC (Natural Gradient).
Learning-Concurrency-in-Python
Learning Concurrency in Python by Packt
loss-landscape
Code for visualizing the loss landscape of neural nets
MAML-Pytorch
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
mosse-tracker
Implementation of MOSSE tracker in MATLAB: Visual Object Tracking using Adaptive Correlation Filters (CVPR 2010)
MPU9250_QFilter
Arduino sketches for MPU9250 9DoF with AHRS sensor fusion
MPU9250_robojax
Arduino library for communicating with the InvenSense MPU-9250 and MPU-9255 nine-axis IMUs.
Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
PlotNeuralNet
Latex code for making neural networks diagrams
pytorch-a2c-ppo-acktr-gail
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-GAN
PyTorch implementations of Generative Adversarial Networks.
set_transformer
Pytorch implementation of set transformer
simpleDM
simple character deepmimic
spinningup
An educational resource to help anyone learn deep reinforcement learning.
stable-baselines3
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Swampy
Code for Swampy, a set of modules used in Think Python, first edition
vae_vampprior
Code for the paper "VAE with a VampPrior", J.M. Tomczak & M. Welling