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abcpmc

Approximate Bayesian Computation Population Monte Carlo

alpha-forecast

Forecasting the lensing of Euclid Halpha sample

aoc2023

approximate-mcmc

An implementation of http://arxiv.org/abs/1402.1694

building_detection

Automated building detection using Neat-EO

cassava_disease_classification

cassave disease classification

ccppabc

Approximate Bayesian Computation

centerer

Analysis of Cramer-Rao bound Saturation by various star centroiding methods in the faint limit

commentiment

nytimes comments entity sentiment

consomme

Clarified reduction (of dimensionality)

cosmology

Some code for calculating cosmological distances

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

fastpm

fastPM - A N-body Particle Mesh solver that scales

fastpm-particle-wrapper

a helper function for properly wrapping the fastpm particles inside the box

food2vec

:hamburger:

footprinter

Semantic segmentation for detection of buildings in Satellite images

gambly

Searching for galaxy-assembly bias in the SDSS data

great3-public

Public repository for the Third Gravitational Lensing Accuracy Testing Challenge

headline_generator

Generating news headlines with LSTM

information_maximiser

Uses neural networks to extract sufficient statistics from data by maximising the Fisher information

kaggle_twitter_disaster

land_use_classification

Land Use and Land Cover Classification with Sentinel-2 Satellite Images and Tensorflow/Keras

leapfrog

lensmagic

lightautoml

LAMA - automatic model creation framework

mcos

Implementation of Monte Carlo Optimization Selection from the paper "A Robust Estimator of the Efficient Frontier"

mixture-density-networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

mjvakili.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

mlcourse

Notebooks for the ML course in Medellin

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.