chaoshunh Goto Github PK

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

plotneuralnet

Latex code for making neural networks diagrams

predictivemanns

Memory augmented neural networks (MANNs) for predictive coding (WIP)

ptgpbo

Bayesian Optimisation with Gaussian Processes implemented in PyTorch

py4fi

Python for Finance (O'Reilly)

pygeopressure_gui

Graphical User Interface for pyGeoPressure

pykonal

Travel-time calculator and ray-tracer based on the fast-marching method solution to the Eikonal equation.

pymlviz

Interactive machine learning algorithm visualisation using Python Jupyter notebooks

pyod

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

pytasa

Python Tools for Analysing Seismic Anisotropy

python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

python-opcua

LGPL Pure Python OPC-UA Client and Server

python-web-analytics

Simple cloud-based web analytics in Python.

python-workshop-image-processing

Using Python for image processing and analysis

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-meta-optimizer

A PyTorch implementation of Learning to learn by gradient descent by gradient descent

q-learning-experience-replay

Comparison of different experience replay on differen environments using Q-learning

qtw_casestudies

This repository contains case study project code and reports for SMU's MSDS 7333 Quantifying the World course.

quickseis

Seismic Adaption of popular conditional GAN algorithm pix2pix to model seismic of sketches

ray-kubernetes

Ray Framework (https://github.com/ray-project/ray) on Kubernetes

raymixedcluster

rcnn

R-CNN: Regions with Convolutional Neural Network Features

reinforcejs

Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

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