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122 search results found

Gophernotes ⭐ 3,679

The Go kernel for Jupyter notebooks and nteract.

Tensorflow Internals ⭐ 2,664

It is open source ebook about TensorFlow kernel and implementation mechanism.

Hsuantienlin_machinelearning ⭐ 2,263

Interactive Go programming with Jupyter

Gpflow ⭐ 1,775

Gaussian processes in TensorFlow

Vscode Jupyter ⭐ 1,148

VS Code Jupyter extension

Graph2vec ⭐ 791

A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).

Module for statistical learning, with a particular emphasis on time-dependent modelling

Erlemar.github.io ⭐ 321

Data science portfolio

Sars_tutorial ⭐ 308

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Fuku Ml ⭐ 278

Simple machine learning library / 簡單易用的機器學習套件

Ocaml Jupyter ⭐ 261

An OCaml kernel for Jupyter (IPython) notebook

Kernelfunctions.jl ⭐ 260

Julia package for kernel functions for machine learning

Keras Gp ⭐ 219

Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.

Gaussian process modelling in Python

Cvessentials ⭐ 156

Tutorial Series (60 hour course): Essentials of computer vision

Large-scale, multi-GPU capable, kernel solver

Densratio_py ⭐ 120

A Python Package for Density Ratio Estimation

Graphkit Learn ⭐ 107

A python package for graph kernels, graph edit distances, and graph pre-image problem.

An extensive machine learning library, made from scratch (Python).

A repository for ebooks， including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL

Kaggle Houseprices ⭐ 88

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-i

Implementation of the Convolutional Conditional Neural Process

Pykernels ⭐ 74

Python library for working with kernel methods in machine learning

Local Fisher Discriminant Analysis in R

Mlkernels.jl ⭐ 72

Machine learning kernels in Julia.

Matlab Notebook for visualizing random matrix theory results and their applications to machine learning

Hashkernel ⭐ 65

A demonstration of how to use hash kernels for ridiculously unprincipled machine learning

ML4Chem: Machine Learning for Chemistry and Materials

statistics, data mining and machine learning toolbox

Mnist Challenge ⭐ 64

My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]

Neural Kernel Network ⭐ 62

Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326

Ml Driver ⭐ 61

🚀 Linux kernel driver for the DreamCheeky USB missile launcher

Kernel Gof ⭐ 56

NeurIPS 2017 best paper. An interpretable linear-time kernel goodness-of-fit test.

Library of transfer learners and domain-adaptive classifiers.

Kelp Full ⭐ 53

🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings

Deep Kernel Gp ⭐ 46

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

Kernelmethods ⭐ 42

Foundational library for Kernel methods in pattern analysis and machine learning

Awesome Kaggle Kernels ⭐ 38

Compilation of good Kaggle Kernels.

Exein Openwrt Public ⭐ 36

Openwrt 18.06.5 featured with the Exein's security framework

Tilitools ⭐ 33

[ti]ny [li]ttle machine learning [tool]box - Machine learning, anomaly detection, one-class classification, and structured output prediction

Partialleastsquaresregressor.jl ⭐ 32

Implementation of a Partial Least Squares Regressor

Random Fourier Features

Naivebayes ⭐ 29

High performance implementation of the Naive Bayes algorithm in R

Drugs Recommendation Using Reviews ⭐ 27

Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.

This is the page for the book Digital Signal Processing with Kernel Methods.

Sagemaker Workshop ⭐ 23

Plsregressor.jl ⭐ 20

Implementation of a Partial Least Squares Regressor

🏭 JavaScript Machine Learning Toolkit

Examples Counterexamples ⭐ 19

Machine learning examples and counterexamples

Kelp Additional Kernels ⭐ 19

Kelp Core ⭐ 18

Implicit generative models and related stuff based on the MMD, in PyTorch

Operalib ⭐ 17

Learning with operator-valued kernels

A Wasserstein Subsequence Kernel for Time Series.

Kooplearn ⭐ 15

A Python package to learn the Koopman operator.

Kelp Additional Algorithms ⭐ 15

Kernel Ep ⭐ 14

UAI 2015. Kernel-based just-in-time learning for expectation propagation

Pygkernels ⭐ 14

Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.

Datafold ⭐ 14

Extended Dynamic Mode Decomposition to extract analytical and predictive from time series data (with dictionary learning, control and streaming options) . Diffusion Maps to extract geometric description from data.

Awesome Ml Resources ⭐ 12

Collection of links to blogs/ resources on various ML topics

Mlstorage ⭐ 11

Storage based on machine learning

Quadrature-based features for kernel approximation

Densratio ⭐ 10

An R Package for Density Ratio Estimation

Multi Kernel Linear Mixed Models for Complex Phenotype Prediction

String Kernels ⭐ 9

Implementation of the "Text Classification using String Kernels" publication by Lodhi et al. (KTH DD2434 Project)

Spherical_kde ⭐ 9

Kernel density estimation on a sphere

Pyrrha Pynode ⭐ 8

Python node implementation for Pyrrha version of Pandora Boxchain

Kpca Denoising Python ⭐ 8

Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

Primary repo at https://gitlab.com/yhtang/graphdot

Tensorflow_model_quantization ⭐ 8

A tutorial of model quantization using TensorFlow

A MATLAB implementation of the multiple kernel learning algorithm EasyMKL

Machinelearningalgos ⭐ 7

Personal reimplementation of some ML algorithms for learning purposes

Ant Model Db ⭐ 6

ANT framework's model database that provides DNN models for the various range of IoT devices

Regularization_for_machine_learning ⭐ 6

Regularization for Machine Learning-RegML GUI

Kaggle Titanic ⭐ 6

kaggle kernel for Titanic dataset

Simplefilter ⭐ 6

Python module for image convolution and ML classification.

Grouped3dconvpytorch ⭐ 6

Implementation of grouped 3D convolutions (with backward) in Tensor Comprehensions.

Machine Learning ⭐ 5

My Implementation of Machine Learning models

Machine Learning ⭐ 5

MachineLearning

Anomaly Detection ⭐ 5

Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.

GomPlex: Complex Gaussian Process for Machine Learning

Openclfeatureextract ⭐ 5

Extracts static code features from opencl kernels to be used for machine learning.

Ios Krsvm ⭐ 5

Support Vector Machine in Machine Learning

Machine Learning ⭐ 5

Analysis and Implementation of Machine Learning Models and Methods

Kernel Adaptive Filtering In Python ⭐ 5

Implementation of LMS, RLS, KLMS and KRLS filters in Python

Gaussian Process tiny explorer

Contextual Gaussian Process Bandit Optimization ⭐ 5

Simple implementation of CGP-UCB algorithm.

Seeds Dataset ⭐ 4

It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.

Low-dimensional vector representations via kernel PCA with rational kernels

Kernelpipes ⭐ 4

Run Kaggle kernel pipeline jobs

Model Comparison Test ⭐ 4

NeurIPS 2019. Kernel Stein Tests for Multiple Model Comparison.

Music Genre Classification ⭐ 4

Classification base on kernel SVM

Regimechange ⭐ 4

Tools for estimating discrete regime changes in a multivariate time series setting.

Re-Implementation of GPLVM algorithm & performance assessment against Kernel-PCA

Incal Spark_ml ⭐ 3

Extension of Spark ML library for the temporal domain served by delay line and reservoir computing kernels/transformers, several classification and regression models, and a convenient customizable pipeline execution.

Explore Exploit In Top N Recommender Systems Via Gaussian Processes ⭐ 3

MATLAB Implementation of CGPRANK algorithm

Deep Kernel ⭐ 3

Work on adding kernel layer in deep networks.

Realtek8168 Linux Kernel4.20 Driver ⭐ 3

realtek8168 driver for linux kernel4.20

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