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A^b's Projects

lightgbm icon lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

litemort icon litemort

New gradient boosting library. Faster than LightGBM with same accuracy

materials icon materials

Bonus materials, exercises, and example projects for our Python tutorials

mlcrate icon mlcrate

A python module of handy tools and functions, mainly for ML and Kaggle

models icon models

Models and examples built with TensorFlow

neuralnilm icon neuralnilm

Deep Neural Networks Applied to Energy Disaggregation

nlp-sentiment-analysis-twitter icon nlp-sentiment-analysis-twitter

[Natural Language Processing] Using NLTK-3 and Sklearn to train different machine learning classifiers and then using an average system to produce the best optimized sentiment analysis of Twitter feeds.

numerai icon numerai

Code from my experiments on Numerai

numerox icon numerox

Numerai tournament toolbox written in Python

pypdf2 icon pypdf2

A utility to read and write PDFs with Python

python-bhtsne icon python-bhtsne

Python module for Barnes-Hut implementation of t-SNE (Cython)

recharts icon recharts

Redefined chart library built with React and D3

shap icon shap

A unified approach to explain the output of any machine learning model

sigil-clj icon sigil-clj

Customer-to-business feedback SaaS website with Clojure backend.

smc_electricity_forecast icon smc_electricity_forecast

Projet ENSAE - Modèles à chaîne de Markov cachée et méthodes de Monte Carlo séquentielles - Antoine Grelety, Samir Tanfous, Zakarya Ali

soaplite icon soaplite

Fast lightweight SOAP implementation for machine learning in quantum chemistry and materials physics.

sortpool2d icon sortpool2d

A new kind of pooling layer for faster and sharper convergence

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