chaaland Goto Github PK
Name: Casey
Type: User
Company: GResearch
Bio: Software Engineer
Location: London
Casey's Projects
applied-linalg
Practice problems in applied linear algebra
bloomberg-ml-course
Solutions to machine learning HW from bloomberg ml course
chaaland.github.io
Personal site
classical-mechanics-ttm
Solutions to problems in Susskind's Classical Mechanics Book
coursera-deep-learning
Solutions to Geoff Hinton's Deep Learning Tutorial
cs231n
Convolutional Neural Networks for Image Tampering Detection
decision-tree-presentation
Some code to make figures for a presentation on gradient boosting
dotfiles
Configuration files
ellipsefit.jl
Small set of julia helper functions for plotting, fitting, and converting between different ellipse representations
hands-on-ml
Practice with TensorFlow and Keras using Hand on Machine Learning textbook
kaggle-tabular-playground-feb2021
lightgbm
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
luigi-workflows
Some examples of using Luigi in Python
makefile-dag
quantum-mechanics-ttm
My own solutions to problems in Susskind's Quantum Mechanics: The Theoretical Minimum using Julia
seattle
Papers We :heart: Seattle
stock-forecasting
Sandbox for tinkering around with python libraries as it applies to stock price prediction
tf_dependency_fetcher
ufldl-tutorial
Andrew Ng's Deep Learning Tutorial
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