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autokeras

AutoML library for deep learning

automated-feature-engineering

Automated feature engineering in Python with Featuretools

automl

Google Brain AutoML

automl-in-action-notebooks

Jupyter notebooks for the code samples of the book "Automated Machine Learning in Action"

autoweka

Auto-WEKA

aweml

This is a new classifier based on taking a weighted average of different combinations of features

awesome-explainable-ai

A collection of research materials on explainable AI/ML

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, dynamical systems, deep learning, control and optimization.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

awesome-tensorflow-2

👉 Tensorflow 2.x resources such as tutorial, blog, code and videos

awesome-tikz

A curated list of awesome TikZ packages and resources

backprop

Backpropagation in Python, C++, and Cuda

basicopenfoamprogrammingtutorials

Introduces basic C++ concepts to beginner users of the OpenFOAM open-source CFD libraries.

bayesian-machine-learning

Notebooks about Bayesian methods for machine learning

bayesian-neural-networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

bcnn

3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793

benchmarks

A benchmark framework for Tensorflow

best_practices

the opinionated *best practices* of Fortran FOSS Programmers group

bhtsne

Barnes-Hut t-SNE

bigml-feature-subsets

Feature Subset Selection a la Kohavi and John, using BigML

binarystspackage

biosimulator.jl

A stochastic simulation framework in Julia.

bl-pinn

Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation

blenderpipeline

Scripts and examples on how to visualize scientific data with Blender

books

boostaroota

A fast xgboost feature selection algorithm

borderdet

BorderDet: Border Feature for Dense Object Detection(ECCV2020 Oral)