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Search results for machine learning kernel
kernel
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machinelearning
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122 search results found
Gophernotes
⭐
3,679
The Go kernel for Jupyter notebooks and nteract.
Tensorflow Internals
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2,664
It is open source ebook about TensorFlow kernel and implementation mechanism.
Hsuantienlin_machinelearning
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2,263
Lgo
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2,082
Interactive Go programming with Jupyter
Gpflow
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1,775
Gaussian processes in TensorFlow
Vscode Jupyter
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1,148
VS Code Jupyter extension
Graph2vec
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791
A parallel implementation of "graph2vec: Learning Distributed Representations of Graphs" (MLGWorkshop 2017).
Tick
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441
Module for statistical learning, with a particular emphasis on timedependent modelling
Erlemar.github.io
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321
Data science portfolio
Sars_tutorial
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308
Repository for the tutorial on SequenceAware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018
Fuku Ml
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278
Simple machine learning library / 簡單易用的機器學習套件
Ocaml Jupyter
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261
An OCaml kernel for Jupyter (IPython) notebook
Kernelfunctions.jl
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260
Julia package for kernel functions for machine learning
Keras Gp
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219
Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
Stheno
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194
Gaussian process modelling in Python
Cvessentials
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156
Tutorial Series (60 hour course): Essentials of computer vision
Falkon
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156
Largescale, multiGPU capable, kernel solver
Densratio_py
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120
A Python Package for Density Ratio Estimation
Graphkit Learn
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107
A python package for graph kernels, graph edit distances, and graph preimage problem.
Ml Lib
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101
An extensive machine learning library, made from scratch (Python).
Ebooks
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100
A repository for ebooks， including C, C plus plus, Linux Kernel, Compiler, OS, Algorithm, Security, Database, Network, ML and DL
Kaggle Houseprices
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88
Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/allyouneedi
Convcnp
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76
Implementation of the Convolutional Conditional Neural Process
Pykernels
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74
Python library for working with kernel methods in machine learning
Lfda
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74
Local Fisher Discriminant Analysis in R
Mlkernels.jl
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72
Machine learning kernels in Julia.
Rmt4ml
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68
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
Hashkernel
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65
A demonstration of how to use hash kernels for ridiculously unprincipled machine learning
Ml4chem
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64
ML4Chem: Machine Learning for Chemistry and Materials
Rapaio
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64
statistics, data mining and machine learning toolbox
Mnist Challenge
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64
My solution to TUM's Machine Learning MNIST challenge 20162017 [winner]
Neural Kernel Network
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62
Code for "Differentiable Compositional Kernel Learning for Gaussian Processes" https://arxiv.org/abs/1806.04326
Ml Driver
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61
🚀 Linux kernel driver for the DreamCheeky USB missile launcher
Kernel Gof
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56
NeurIPS 2017 best paper. An interpretable lineartime kernel goodnessoffit test.
Libtlda
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54
Library of transfer learners and domainadaptive classifiers.
Kelp Full
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53
Kermit
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52
🐸 KERMIT  A lightweight library to encode and interpret Universal Syntactic Embeddings
Deep Kernel Gp
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46
Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood
Kernelmethods
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42
Foundational library for Kernel methods in pattern analysis and machine learning
Awesome Kaggle Kernels
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38
Compilation of good Kaggle Kernels.
Exein Openwrt Public
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36
Openwrt 18.06.5 featured with the Exein's security framework
Tilitools
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33
[ti]ny [li]ttle machine learning [tool]box  Machine learning, anomaly detection, oneclass classification, and structured output prediction
Partialleastsquaresregressor.jl
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32
Implementation of a Partial Least Squares Regressor
Srf
⭐
30
Random Fourier Features
Naivebayes
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29
High performance implementation of the Naive Bayes algorithm in R
Drugs Recommendation Using Reviews
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27
Analyzing the Drugs Descriptions, conditions, reviews and then recommending it using Deep Learning Models, for each Health Condition of a Patient.
Dspkm
⭐
26
This is the page for the book Digital Signal Processing with Kernel Methods.
Sagemaker Workshop
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23
Plsregressor.jl
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20
Implementation of a Partial Least Squares Regressor
Jsmlt
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19
🏭 JavaScript Machine Learning Toolkit
Examples Counterexamples
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19
Machine learning examples and counterexamples
Kelp Additional Kernels
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19
Kelp Core
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18
Igms
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17
Implicit generative models and related stuff based on the MMD, in PyTorch
Operalib
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17
Learning with operatorvalued kernels
Wtk
⭐
16
A Wasserstein Subsequence Kernel for Time Series.
Kooplearn
⭐
15
A Python package to learn the Koopman operator.
Kelp Additional Algorithms
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15
Kernel Ep
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14
UAI 2015. Kernelbased justintime learning for expectation propagation
Pygkernels
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14
Graphs clustering using kernel measures and estimators. Kernel KMeans, Spectral Clustering, Kernel Ward etc.
Datafold
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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
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12
Collection of links to blogs/ resources on various ML topics
Mlstorage
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11
Storage based on machine learning
Quffka
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11
Quadraturebased features for kernel approximation
Densratio
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10
An R Package for Density Ratio Estimation
Mklmm
⭐
10
Multi Kernel Linear Mixed Models for Complex Phenotype Prediction
String Kernels
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9
Implementation of the "Text Classification using String Kernels" publication by Lodhi et al. (KTH DD2434 Project)
Spherical_kde
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9
Kernel density estimation on a sphere
Pyrrha Pynode
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8
Python node implementation for Pyrrha version of Pandora Boxchain
Kpca Denoising Python
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8
Reproduction of the experiments presented in Kernel PCA and Denoising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016
Graphdot
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8
Primary repo at https://gitlab.com/yhtang/graphdot
Tensorflow_model_quantization
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8
A tutorial of model quantization using TensorFlow
Easymkl
⭐
7
A MATLAB implementation of the multiple kernel learning algorithm EasyMKL
Machinelearningalgos
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7
Personal reimplementation of some ML algorithms for learning purposes
Ant Model Db
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6
ANT framework's model database that provides DNN models for the various range of IoT devices
Regularization_for_machine_learning
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6
Regularization for Machine LearningRegML GUI
Kaggle Titanic
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6
kaggle kernel for Titanic dataset
Simplefilter
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6
Python module for image convolution and ML classification.
Grouped3dconvpytorch
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6
Implementation of grouped 3D convolutions (with backward) in Tensor Comprehensions.
Machine Learning
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5
My Implementation of Machine Learning models
Machine Learning
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5
MachineLearning
Anomaly Detection
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5
Easy to understand classification problem from a highly skewed kaggle dataset. Solved using logistic regression and SVM, code inspired from top contributor.
Gomplex
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5
GomPlex: Complex Gaussian Process for Machine Learning
Openclfeatureextract
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5
Extracts static code features from opencl kernels to be used for machine learning.
Ios Krsvm
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5
Support Vector Machine in Machine Learning
Machine Learning
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5
Analysis and Implementation of Machine Learning Models and Methods
Kernel Adaptive Filtering In Python
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5
Implementation of LMS, RLS, KLMS and KRLS filters in Python
Gpie
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5
Gaussian Process tiny explorer
Contextual Gaussian Process Bandit Optimization
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5
Simple implementation of CGPUCB algorithm.
Seeds Dataset
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4
It is one of the most basic repository to understand the basics and apply machine learning algorithms on it.
Ratvec
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4
Lowdimensional vector representations via kernel PCA with rational kernels
Kernelpipes
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4
Run Kaggle kernel pipeline jobs
Model Comparison Test
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4
NeurIPS 2019. Kernel Stein Tests for Multiple Model Comparison.
Music Genre Classification
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4
Classification base on kernel SVM
Regimechange
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4
Tools for estimating discrete regime changes in a multivariate time series setting.
Gplvm
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4
ReImplementation of GPLVM algorithm & performance assessment against KernelPCA
Incal Spark_ml
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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
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3
MATLAB Implementation of CGPRANK algorithm
Deep Kernel
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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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