Stars
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
A toolkit for developing and comparing reinforcement learning algorithms.
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Bayesian active learning library for research and industrial usecases.
A Hyperparameter Tuning Library for Keras
Fit interpretable models. Explain blackbox machine learning.
Contains Jupyter Notebooks/Resources provided by the author and my work on problem sets.
Imaging, analysis, and simulation software for radio interferometry
GAP is a gender-balanced dataset containing 8,908 coreference-labeled pairs of (ambiguous pronoun, antecedent name), sampled from Wikipedia for the evaluation of coreference resolution in practica…
Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC
TGaston / blog
Forked from dawidkopczyk/blogScripts published on my blog
TGaston / docker-rstats
Forked from Kaggle/docker-rstatsKaggle R docker image
source code from the book Genetic Algorithms with Python by Clinton Sheppard
TGaston / TreeBasedMachineLearningAlgorithms
Forked from handcraftsman/TreeBasedMachineLearningAlgorithmssource code from the book Tree-based Machine Learning Algorithms by Clinton Sheppard
source code from the book Genetic Algorithms with Python by Clinton Sheppard
caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Zipline, a Pythonic Algorithmic Trading Library
Portfolio and risk analytics in Python
Quantitative research and educational materials
The fundamental package for scientific computing with Python.
An Open Source Machine Learning Framework for Everyone