Pinned Repositories
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
tylrhall's Repositories
tylrhall/DMStudio
Forked and maintained separately from Sean Horan. Fixed major flaws, adding descriptions, blending functionality with SGEMS and other SCERF code.
tylrhall/automapper
Automated geological mapping for Python
tylrhall/Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
tylrhall/cs228-material
Teaching materials for the probabilistic graphical models and deep learning classes at Stanford
tylrhall/CS231
My corrections for the Standford class assingments CS231n - Convolutional Neural Networks for Visual Recognition
tylrhall/DGSA_Light
This is a light version of DGSA, written in Python
tylrhall/earthchem-pyclient
Python client for the Earthchem REST and OGC APIs
tylrhall/eidawa
Extractive Industries Data Warehouse
tylrhall/explore_australia
Access to Australia-wide public data for OZ Minerals/Unearthed Explorer challenge
tylrhall/fastai
The fast.ai deep learning library, lessons, and tutorials
tylrhall/geomapapp
Java application for exploring geoscience data
tylrhall/Geostats_ML_2Day
Two day course on geostats and machine learning
tylrhall/GeostatsPy
Reimplementation of GSLIB, Spatial Data Analytics and Geostatistics in a Python package.
tylrhall/JuliaPractice
This is where I practice or try out new things, written in Julia
tylrhall/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!
tylrhall/Machine_Learning
1 Day Machine Learning Course
tylrhall/MCTS.jl
Monte Carlo Tree Search for Markov decision processes using the POMDPs.jl framework
tylrhall/mineralexplorationcourse
Mineral Exploration Course
tylrhall/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.
tylrhall/odds-and-ends
Small pieces of code I use to practice
tylrhall/PGE379_SubsurfaceMachineLearning
Course in subsurface machine learning.
tylrhall/POMDPGifs.jl
Utilities for generating gifs of POMDPs
tylrhall/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 ;)
tylrhall/pygplates-tutorials
Repository for ipython notebooks demonstrating functionality of pygplates
tylrhall/PythonNumericalDemos
A collection of Python demos for geostatistical methods.
tylrhall/Resources
tylrhall/stanford-cs-221-artificial-intelligence
VIP cheatsheets for Stanford's CS 221 Artificial Intelligence