jiegenghua Goto Github PK

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

clrs

:notebook:Solutions to Introduction to Algorithms

cse6140_project

d2_net

d2net_slam_alpha

data-assisted

Code for data-assisted reduced-order modeling of extreme events in complex dynamical systems, available on arXiv: https://arxiv.org/abs/1803.03365

ddpg_vs_ddp_hybridsystem

deepcompletionrelease

Deep Depth Completion of a Single RGB-D Image

dip

This is the final project of Digital Image Processing.

dl

dropoutuncertaintyexps

Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"

ece8803-project

echotorch

A Python toolkit for Reservoir Computing and Echo State Network experimentation based on pyTorch. EchoTorch is the only Python module available to easily create Deep Reservoir Computing models.

faster-rcnn

gail-tf

Tensorflow implementation of generative adversarial imitation learning

gitlearn

Learning Git

htmlbook_mi

Let's write books in HTML!

jiegenghua.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

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.

latex-resources

Collection of LaTeX resources and examples.

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

mizhou-cv

models

Models and examples built with TensorFlow

ngramtaggers

notes-rl

Collection of technical/paper notes related to reinforcement learning, with compact summary and detailed mathematical derivations.

paper-reading

present

html, javascript

pwc

Papers with code. Sorted by stars. Updated weekly.

ring_jaco

ros