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124 search results found
H2o 3
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6,618
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Play With Machine Learning Algorithms
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1,164
Code of my MOOC Course <Play with Machine Learning Algorithms>. Updated contents and practices are also included. 我在慕课网上的课程《Python3 入门机器学习》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
H2o4gpu
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421
H2Oai GPU Edition
Ufldl Tutorial
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382
Deep Learning and Unsupervised Feature Learning Tutorial Solutions
Medium
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333
Code related to blog posts on my Medium page
2018 Machinelearning Lectures Esa
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324
Machine Learning Lectures at the European Space Agency (ESA) in 2018
Predicting Car Price From Scraped Data
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305
Picture and specifications scraper
Machinelearninginaction Camp
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273
Pca
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236
pca: A Python Package for Principal Component Analysis.
Introduction To Machine Learning
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234
This repo will house all our course material and code snippets from the Introduction to Machine Learning Class
Coloring T Sne
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203
Exploration of methods for coloring t-SNE.
Datagene
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170
DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)
Contrastive
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151
Contrastive PCA
Machine_learning_2018
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146
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
Machine Learning And Reinforcement Learning In Finance
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135
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Regularized Linear Autoencoders
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132
Loss Landscapes of Regularized Linear Autoencoders
Python_for_data_science
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129
python_for_data_science
Dse210_probability_statistics_python
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122
Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)
Robustautoencoder
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110
A combination of Autoencoder and Robust PCA
Graphnn Multi Object Tracking
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107
Unofficial PyTorch implementation of "Learning a Neural Solver for Multiple Object Tracking"
Advanced_training
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105
Advanced Scikit-learn training session
Fraud Detection Using Deep Learning
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95
Ristretto
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94
Randomized Dimension Reduction Library
Pytorch Byol
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94
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
Kaggle Houseprices
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88
Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-i
Wpca
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80
Weighted Principal Component Analysis (PCA) in Python
Mathematical Methods In Deep Learning Ipython
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78
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
Hyperspectral_image_analysis_simplified
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77
The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.
Nirpyresearch
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72
Snippets and data from the blog of Nirpy Research
Islr With Python
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68
Introduction to Statistical Learning with R을 Python으로
Mnist Challenge
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64
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
Coursera Mathematics For Ml
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63
Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
Slik_python_package
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60
A data wrangling and modeling tool.
Medium Articles
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52
Code used to obtain results for my medium articles
Isl Python
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50
Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.
Spike_sorting
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41
Python implementation of signal processing techniques and K-means clustering to sort spikes.
Nlp Qrmine
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40
Qualitative Research support tools in Python
Machine_learning_code_with_python
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40
Machinelearningnote
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37
用python实现机器学习各种经典算法
Dimensionality Reduction And Classification On Hyperspectral Images Using Python
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36
In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.
Onlinerpca
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36
Online Robust Principal Component Analysis
Music Clustering
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35
K-Means Clustering and PCA to categorize music by similar audio features
Playing_with_vae
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34
Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST
Data Science Learning
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32
📊 All of courses, assignments, exercises, mini-projects and books that I've done so far in the process of learning by myself Machine Learning and Data Science.
Kave Egitim
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26
Veri Bilimi, Yapay Öğrenme, Derin Öğrenme konuları işlenecektir.
Loan Prediction Dataset
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25
Qedr
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25
Quantitative evaluation of disentangled representations
Info Retrieval
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25
Information Retrieval in High Dimensional Data (class deliverables)
Datascience
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24
Data Science
Sgt
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23
Sequence Graph Transform
100daysofmlcode
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23
Streaming Vis Pca
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21
Incremental PCA for Visualizing Streaming Multidimensional Data
Data Visualizations Medium
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21
Understanding Data and Machine Learning Models with Visualizations
Cshl Singlecell 2017
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20
Single Cell Analysis course at Cold Spring Harbor Laboratory 2017
Ccpca
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18
ccPCA: contrasting clusters in PCA.
Nyyelp
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18
predicting yelp review rating using recurrent neural networks
Ml
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18
Foundations of Machine Learning Course Materials.
Machinelearning
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17
Implementations of machine learning algorithm by Python 3
Study
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17
Учебные материалы по курсам связанным с Машинным обучением, которые я читаю в УрФУ. Презентации, блокноты ipynb, ссылки
More Ml Algorithm
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16
There are more Machine Learning algorithms
Ai Ml Unit 2
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16
Course Material for Artificial Intelligence and Machine Learning - Unit 2 @ Computer Science Dept, Sapienza
Machinelearningwithpython
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15
Quick Data Science Experiments 2017
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14
Quick-Data-Science-Experiments
Twitter_sentiment_analysis_part8
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14
Twitter sentiment analysis part 8: Dimensionality reduction (chi-squared, PCA)
Neural Dynamics Gyration
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14
A repository containing the code accompanying the research paper "On the Rotational Structure in Neural Data" by Kuzmina E., Kriukov D., Lebedev M.
Basic Machine Learning Using Scikit Learn
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13
Mn_classifier_cnns
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12
A convolutional neural network classifier for determining the oxidation state of Manganese
Audio_cat_dog_classification
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12
Classification of WAV files from cats and dogs
Ml Image Denoising
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12
Image denoising using PCA, NMF, K-SVD, Spectral decomposition, CNN and state of the art generative adversarial denoising autoencoder
Early Im Fault Diagnosis
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11
🧠 A model for early detection of multiple faults in induction motors based on the use of PCA and multilabel decision-trees
Clustering On The Mnist Data
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11
Comparisons between KMeans, PCA, LDA, t-SNE on the MNIST dataset
Projects
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10
This is the repository containing machine learning and deep learning projects, as well as some presentation slides on these topics.
Simec
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10
Similarity Encoder (SimEc) Neural Network Framework for learning low dimensional similarity preserving representations
Pca From Scratch Iris Dataset
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10
Implementing PCA from Scratch for iris dataset
Mathematics For Machine Learning
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10
This repository contains the code for all the programming tasks of the Mathematics for Machine Learning courses taught at Coursera by Imperial College London
Machinelearningzerotoall
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9
机器学习算法(python)
Cifar 10
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9
Image Classification with Cifar-10 dataset
Connectintensive
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9
Jupyter Notebooks for the Connect Intensive MLND Program
T Snepreprocessingcomparison
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9
Comparison of two techniques for pre-processing data for t-SNE (PCA and convolutional autoencoder).
Machine Learning Lecture Notes
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9
Lecture notes and codes for machine learning
Data_processing_and_feature_engineering_in_machine_learning
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9
This is an attempt to summarize feature engineering methods that I have learned over the course of my graduate school.
Hyperspectral Image Classification
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9
Comparative analysis of different feature extraction techniques for hyperspectral image classification.
Pyconvnetphash
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9
image perceptual hash experiment using convolutional neural net models
Drpca
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9
Differential Robust PCA
Wahlomat_analysis
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8
Analyzes www.wahl-o-mat.de German political party data
Mml Feature Learning
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8
Miami Machine Learning Meetup - Feature Learning with Matrix Factorization and Neural Networks
Online Shoppers Purchasing Intention
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8
In this data set we have perform classification or clustering and predict the intention of the Online Customers Purchasing Intention. The data set was formed so that each session would belong to a different user in a 1-year period to avoid any tendency to a specific campaign, special day, user profile, or period.
Machine Learning
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8
Research project and hands-on work
Machine Learning
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8
Basic Machine Learning Tutorial
Machine Learning
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8
Repository for Machine Learning Notes
Machine Learning
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7
Summer Of Ml 2021
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7
Resource Repository for AIMLC's Summer of ML 2021
Yield_curve_dynamics
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7
A cursory look at the dynamics of zero coupon bond yield curves.
Employee Absenteeism
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7
Subspacekmeans
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7
SubspaceKMeans: Subspace k-Means
Machine Learning.jl
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7
Dpautogan
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7
Nlpspecialization
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7
This repo contains the assignment and quiz solutions of Natural Language Processing Specialization, offered on Coursera.
Credit Card Fraud Detection
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6
A project on machine learning techniques dealing with imbalanced classification (Python)
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