chaoshunh Goto Github PK

reinforcement-learning

Minimal and Clean Reinforcement Learning Examples

reinforcement-learning-1

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-2

Explorations to accompany RL: An Introduction and CS394R F16

reinforcement-learning-maze

Various ways to learn a computer to escape from a maze. From random walk to a simple neural network.

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

resinsight

3D viewer and post processing of reservoir models

resnet1d

A PyTorch implementation of ResNet/ResNeXt with 1D conv (pad same), and its application on ECG data

rl-project

CS394R Reinforcement Learning Project

rl_final_project_2019

This is the course project for CS394R @ UT Austin

rl_proj

Final project of course cs394R: Reinforcement Learning.

rlexample

Copy from bolei's repo, for practice

rlexample-1

Some basic examples of playing with RL

rlfinalproject

CS394R by Peter Stone

rllib_projects

Machine Learning gaming projects based on RLlib+Tensorflow 2.0

rloss

Regularized Losses (rloss) for Weakly-supervised CNN Segmentation

robby-deep-rl

Robby the soda-can-collecting robot (https://bit.ly/2MPUku5) trained with a deep RL algorithm, PPO, with the help of Ray RLlib.

rtm_gpu

Acoustic reverse-time migration using GPU card and POSIX thread based on the adaptive optimal finite-difference scheme and the hybrid absorbing boundary condition.

rtmpy

Seismic wave modeling and reverse time migration - gpu implementation

sagemaker_ray_rllib_custom_env

Sample setup for custom reinforcement learning environment in Sagemaker. This example uses Proximal Policy Optimization with Ray (RLlib).

scikit-image

Image processing in Python

segam18

Deep-learning seismic facies on state-of-the-art CNN architectures

seglearn

Python module for machine learning time series:

seismic-data-regularization

A partial convolution-based deep-learning network for seismic data regularization

seismic-simulation-complex-media

This repository reproduces the results of the paper "Deep learning for fast simulation of seismic waves in complex media" (B. Moseley et al, 2020, Solid Earth)

seismic_unix

seismicadjointimaging

seismicpro

Seismic data processing with ML and deep learning

seismicunixextra

My addons to the Seismic Unix seismic processing package

seisunix

The CWP/SU: Seismic Un*x Package - a free open seismic processing, research, and educational software package.

sensorstoinfluxdb