the-moliver Goto Github PK

allensdk

boruta-shap

A Tree based feature selection tool which combines both the Boruta feature selection algorithm with shapley values.

cairo.jl

Bindings to the Cairo graphics library.

deeplearningimplementations

Implementation of some deep learning models

dvd-gan

A pytorch implementation of Efficient Video Generation on Complex Datasets

fastlzerospikeinference

Fast Exact Spike Inference Via L0 Optimization

fully-hyperbolic-nn

Code for paper Fully Hyperbolic Neural Networks

genosolver

GENO is a solver for non-linear optimization problems. It can solve constrained and unconstrained problems.

hororf

Repository for "Hyperbolic Random Forests"

hyperdt

Hyperbolic decision trees

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.

keras-contrib

Keras community contributions

keras-rl

Deep Reinforcement Learning for Keras.

kernellibrary.jl

A library of kernel functions for things like Kernel regression, SVM, etc.

kernelrecursiveleastsquares.jl

Julia implementation of Kernel Recursive Least Squares algorithm

kfs

Keras for Science

kxy-python

A toolkit to boost the productivity of machine learning engineers.

libtlda

Library of transfer learning and domain adaptation classifiers.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

mdmm

The Modified Differential Multiplier Method (MDMM) for PyTorch

metadata.jl

Metadata for registered Julia packages.

mocha.jl

Deep Learning framework for Julia

neuralnets.jl

Generic artificial neural networks in Julia

numerox

Numerai tournament toolbox written in Python

paa

Matlab scripts for probabilistic archetypal analysis

pfs

Pytorch for Science

pytorch_convolutional_rnn

PyTorch implementation of Convolutional Recurrent Neural Network

pytorch_imagenet

PyTorch implementation of AlexNet

qpth

A fast and differentiable QP solver for PyTorch.

scikit-image

Image Processing SciKit (Toolbox for SciPy)