pareshnakhe
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Data, Benchmarks, and methods submitted to the M5 forecasting competition
An extension of LightGBM to probabilistic modelling
pareshnakhe / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
Forked from CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackersaka "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 ;)
Gorgonia is a library that helps facilitate machine learning in Go.
Deep universal probabilistic programming with Python and PyTorch
Bayesian Modeling and Probabilistic Programming in Python
ColCarroll / resources
Forked from pymc-devs/pymc-resourcesPyMC3 educational resources
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
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 ;)
DFO-GN: Derivative-Free Optimization using Gauss-Newton
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
R functions to perform and display Google Trends queries
An API layer on top of google trends
Learning to Learn in TensorFlow
Deep Pink is a chess AI that learns to play chess using deep learning.
🌓 Moon is a minimal, one column jekyll theme.
Jupyter metapackage for installation, docs and chat
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Open solution to the Toxic Comment Classification Challenge
FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)
Codes for Kaggle Competitions