AlCorreia

coding-interview-university

A complete computer science study plan to become a software engineer.

sklearn-bayes

Python package for Bayesian Machine Learning with scikit-learn API

opt_einsum

⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.

semiring-einsum

Generic PyTorch implementation of einsum that supports different semirings

drbayes

Code Repo for "Subspace Inference for Bayesian Deep Learning"

deeprob-kit

A Python Library for Deep Probabilistic Modeling

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-fid

Compute FID scores with PyTorch.

PyTorchDiscreteFlows

Discrete Normalizing Flows implemented in PyTorch

EinsumNetworks

python_example

Example pybind11 module built with a Python-based build system

RobustTrees

[ICML 2019, 20 min long talk] Robust Decision Trees Against Adversarial Examples

pyBN

Bayesian Networks in Python

NumCpp

C++ implementation of the Python Numpy library

forest-confidence-interval

Confidence intervals for scikit-learn forest algorithms

numba

NumPy aware dynamic Python compiler using LLVM

libspn-keras

Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras

numba-scipy

numba_scipy extends Numba to make it aware of SciPy

rvlib

Distributions for Python

SumProductNetworks.jl

Sum-product networks in Julia.

scikit-learn

scikit-learn: machine learning in Python

pyspn

spn-pytorch-experiments

Experiments on the integration of Sum-Product Networks into Deep Neural Networks.

spn

Online structure learning of sum product networks

gospn

A free, open-source inference and learning library for Sum-Product Networks (SPN)

fklearn

fklearn: Functional Machine Learning