tylrhall Goto Github PK

automapper

Automated geological mapping for Python

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cs228-material

Teaching materials for the probabilistic graphical models and deep learning classes at Stanford

cs231

My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition

dgsa_light

This is a light version of DGSA, written in Python

dmstudio

Forked and maintained separately from Sean Horan. Fixed major flaws, adding descriptions, blending functionality with SGEMS and other SCERF code.

earthchem-pyclient

Python client for the Earthchem REST and OGC APIs

eidawa

Extractive Industries Data Warehouse

explore_australia

Access to Australia-wide public data for OZ Minerals/Unearthed Explorer challenge

fastai

The fast.ai deep learning library, lessons, and tutorials

geomapapp

Java application for exploring geoscience data

geostats_ml_2day

Two day course on geostats and machine learning

geostatspy

Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.

juliapractice

This is where I practice or try out new things, written in Julia

machine-learning-project-walkthrough

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

machine_learning

1 Day Machine Learning Course

mcts.jl

Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework

mineralexplorationcourse

Mineral Exploration Course

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

odds-and-ends

Small pieces of code I use to practice

pge379_subsurfacemachinelearning

Course in subsurface machine learning.

pomdpgifs.jl

Utilities for generating gifs of POMDPs

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pygplates-tutorials

Repository for ipython notebooks demonstrating functionality of pygplates

pythonnumericaldemos

A collection of Python demos for geostatistical methods.

resources

stanford-cs-221-artificial-intelligence

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence