COLLECTED BY

Organization: Archive Team

Formed in 2009, the Archive Team (not to be confused with the archive.org Archive-It Team) is a rogue archivist collective dedicated to saving copies of rapidly dying or deleted websites for the sake of history and digital heritage. The group is 100% composed of volunteers and interested parties, and has expanded into a large amount of related projects for saving online and digital history.

History is littered with hundreds of conflicts over the future of a community, group, location or business that were "resolved" when one of the parties stepped ahead and destroyed what was there. With the original point of contention destroyed, the debates would fall to the wayside. Archive Team believes that by duplicated condemned data, the conversation and debate can continue, as well as the richness and insight gained by keeping the materials. Our projects have ranged in size from a single volunteer downloading the data to a small-but-critical site, to over 100 volunteers stepping forward to acquire terabytes of user-created data to save for future generations.

The main site for Archive Team is at archiveteam.org and contains up to the date information on various projects, manifestos, plans and walkthroughs.

This collection contains the output of many Archive Team projects, both ongoing and completed. Thanks to the generous providing of disk space by the Internet Archive, multi-terabyte datasets can be made available, as well as in use by the Wayback Machine, providing a path back to lost websites and work.

Our collection has grown to the point of having sub-collections for the type of data we acquire. If you are seeking to browse the contents of these collections, the Wayback Machine is the best first stop. Otherwise, you are free to dig into the stacks to see what you may find.

The Archive Team Panic Downloads are full pulldowns of currently extant websites, meant to serve as emergency backups for needed sites that are in danger of closing, or which will be missed dearly if suddenly lost due to hard drive crashes or server failures.

Collection: Archive Team: URLs

TIMESTAMPS

The Wayback Machine - https://web.archive.org/web/20220709051810/https://github.com/topics/support-vector-machines

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support-vector-machines

Here are 940 public repositories matching this topic...

Avik-Jain / 100-Days-Of-ML-Code

100 Days of ML Coding

python machine-learning tutorial deep-learning svm linear-regression scikit-learn linear-algebra machine-learning-algorithms naive-bayes-classifier logistic-regression implementation support-vector-machines 100-days-of-code-log 100daysofcode infographics siraj-raval siraj-raval-challenge

Updated Feb 28, 2022

liuruoze / EasyPR

An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations.

opencv machine-learning computer-vision artificial-intelligence supervised-learning artificial-neural-networks chinese-characters datasets support-vector-machines plate-recognition opencv3 unconstrained-situation

Updated Dec 11, 2019
C++

accord-net / framework

Machine learning, computer vision, statistics and general scientific computing for .NET

c-sharp machine-learning visual-studio framework statistics computer-vision ffmpeg neural-network nuget unity3d image-processing support-vector-machines

Updated Nov 18, 2020
C#

anfederico / clairvoyant

Sponsor

Software designed to identify and monitor social/historical cues for short term stock movement

machine-learning stock-market support-vector-machines backtesting-trading-strategies portfolio-simulation

Updated Jun 24, 2021
Python

kk7nc / Text_Classification

Text Classification Algorithms: A Survey

deep-learning random-forest text-classification recurrent-neural-networks naive-bayes-classifier dimensionality-reduction logistic-regression document-classification convolutional-neural-networks text-processing decision-trees boosting-algorithms support-vector-machines hierarchical-attention-networks nlp-machine-learning conditional-random-fields k-nearest-neighbours deep-belief-network rocchio-algorithm deep-neural-network

Updated Mar 9, 2022
Python

nsoojin / coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

neural-network logistic-regression support-vector-machines coursera-machine-learning principal-component-analysis numpy-exercises anomaly-detection machine-learning-ex1 andrew-ng-course python-ml andrew-ng-machine-learning andrew-ng-ml-course

Updated Sep 2, 2020
Python

jmartinezheras / 2018-MachineLearning-Lectures-ESA

Machine Learning Lectures at the European Space Agency (ESA) in 2018

machine-learning text-mining lectures deep-learning neural-network random-forest clustering linear-regression pca topic-modeling machinelearning tf-idf decision-trees support-vector-machines lecture-videos lecture-material lecture-slides anomaly-detection

Updated Aug 29, 2020
Jupyter Notebook

fukuball / fuku-ml

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

machine-learning neural-network svm linear-regression regression classification logistic-regression perceptron decision-trees support-vector-machines

Updated Jun 21, 2022
Python

Madhu009 / Deep-math-machine-learning.ai

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

machine-learning natural-language-processing deep-neural-networks tensorflow word2vec linear-regression q-learning neural-networks reinforcement-learning-algorithms sarsa logistic-regression gans support-vector-machines policy-iteration value-iteration gradient-descent-algorithm monte-carlo-methods temporal-differencing-learning general-adversarial-network

Updated Mar 15, 2019
Jupyter Notebook

snrazavi / Machine_Learning_2018

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

python machine-learning clustering linear-regression regression neural-networks supervised-learning pca classification dimensionality-reduction logistic-regression recommender-system gradient-descent support-vector-machines backpropagation anomaly-detection unsupervised-machine-learning

Updated Sep 16, 2021
Jupyter Notebook

DoubangoTelecom / compv

Insanely fast Open Source Computer Vision library for ARM and x86 devices (Up to #50 times faster than OpenCV)

machine-learning arm computer-vision neural-network assembler artificial-intelligence text-recognition x86 artificial-neural-networks pattern-recognition adaboost support-vector-machines boosting ocr-recognition gpgpu-computing

Updated Apr 27, 2022
C++

GeorgeSeif / Python-Machine-Learning

Python Machine Learning Algorithms

python machine-learning algorithm neural-network scikit-learn regression classification python-machine-learning support-vector-machines

Updated Oct 27, 2020
Python

mithi / vehicle-tracking-2

A vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM).

udacity self-driving-car support-vector-machines vehicle-tracking hog-features

Updated Sep 23, 2018
Jupyter Notebook

hiroyuki-kasai / ClassifierToolbox

A MATLAB toolbox for classifier: Version 1.0.7

linear-regression pca classification src face-recognition support-vector-machines manifold sparse-coding dictionary-learning matlab-toolbox principal-component-analysis covariance-matrix eigenfaces linear-discriminant-analysis subspace spd classification-algorithims manifold-optimization symmetric-positive-definite

Updated Jun 11, 2018
MATLAB

sharmapratik88 / AIML-Projects

Projects I completed as a part of Great Learning's PGP - Artificial Intelligence and Machine Learning

nlp data-science machine-learning statistics computer-vision random-forest data-visualization recommendation-system logistic-regression support-vector-machines decision-tree-classifier gradient-boosting-classifier knearest-neighbor-algorithm oversampling supervised-machine-learning unsupervised-machine-learning catboost ensemble-machine-learning machinelearningprojects datascienceproject

Updated Aug 23, 2021
Jupyter Notebook

shawn-terryah / Twitter_Geolocation

Geolocating twitter users by the content of their tweets

natural-language-processing maps random-forest geolocation twitter-streaming-api tweepy amazon-web-services support-vector-machines stacked-ensembles twitter-geolocation

Updated Jan 8, 2021
Python

tiskw / random-fourier-features

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

python machine-learning-algorithms pytorch support-vector-machines gaussian-processes principal-component-analysis

Updated Jul 5, 2022
Python

abhinavsagar / ICC-2019-WC-prediction

Predicting the winner of 2019 cricket world cup using random forest algorithm

machine-learning algorithms random-forest scikit-learn jupyter-notebook artificial-intelligence cricket logistic-regression support-vector-machines knn-classification worldcup2019

Updated Jun 7, 2021
Jupyter Notebook

OSSpk / Handwritten-Digits-Classification-Using-KNN-Multiclass_Perceptron-SVM

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

svm machine-learning-algorithms mnist-dataset logistic-regression support-vector-machines knn artificial-neural-network handwritten-digit-recognition k-nearest-neighbours supervised-machine-learning support-vector-classifier perceptron-learning-algorithm sigmoid-function delta-rule mnist-classification-logistic comparative-study multiclass-perceptron learning-algorithms-comparison accuracy-analysis efficiency-analysis

Updated Jan 17, 2021
Python

CihanBosnali / Machine-Learning-without-Libraries

Today, using machine learning algorithms is as easy as "import knn from ..." but it doesn't really help if you want to learn how the algorithms work

machine-learning machine-learning-algorithms neural-networks support-vector-machines k-means-clustering k-nearest-neighbors

Updated Sep 16, 2019
Jupyter Notebook

decile-team / jensen

A C++ toolkit for Convex Optimization (Logistic Loss, SVM, SVR, Least Squares etc.), Convex Optimization algorithms (LBFGS, TRON, SGD, AdsGrad, CG, Nesterov etc.) and Classifiers/Regressors (Logistic Regression, SVMs, Least Squares Regression etc.)

machine-learning machine-learning-algorithms sgd tron logistic-regression regularization gradient-descent support-vector-machines optimization-algorithms convex-optimization lbfgs-algorithm lbfgs jensen

Updated Feb 26, 2022
C++

bank-of-england / Shapley_regressions

Statistical inference on machine learning or general non-parametric models

machine-learning time-series random-forest artificial-intelligence statistical-inference data-analysis artificial-neural-networks statistical-tests support-vector-machines simulation-modeling non-parametric-inference shapley-decomposition

Updated Oct 12, 2020
Python

hiroyuki-kasai / SparseGDLibrary

MATLAB library of gradient descent algorithms for sparse modeling: Version 1.0.3

machine-learning big-data algorithms optimization machine-learning-algorithms solver lasso logistic-regression gradient-descent support-vector-machines admm proximal-algorithms proximal-operators sparse-regression optimization-algorithms matrix-completion elasticnet lasso-regression coordinate-descent sparse-linear-solver

Updated Nov 20, 2018
MATLAB

Mamcose / NSL-KDD-Network-Intrusion-Detection

Machine Learning Algorithms on NSL-KDD dataset

machine-learning validation random-forest ensemble-learning support-vector-machines k-nearest-neighbors nsl-kdd-dataset

Updated May 30, 2019
Jupyter Notebook

tirthajyoti / R-stats-machine-learning

Misc Statistics and Machine Learning codes in R

machine-learning r statistics neural-network random-forest clustering regression classification nearest-neighbors k-means decision-trees support-vector-machines hypothesis-testing principal-component-analysis

Updated Mar 20, 2021
R

DSPKM / DSPKM

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

machine-learning svm kernel-methods digital-signal-processing support-vector-machines

Updated Jun 22, 2017
MATLAB

krish240574 / ETFMachineLearning

Implementation of a paper in q/KDB+ and python - "Forecasting ETFs with Machine Learning Algorithms" - Jim Kyung-Soo Liew and Boris Mayster

python deep-learning random-forest neural-networks kdb support-vector-machines quantitative-trading kx

Updated Aug 5, 2018
Jupyter Notebook

MaviccPRP / svm

Tutorial: Support Vector Machine from scratch using Python3

machine-learning svm support-vector-machines machine-learning-tutorials

Updated Apr 3, 2017
Jupyter Notebook

qandeelabbassi / python-svm-sgd

Python implementation of stochastic sub-gradient descent algorithm for SVM from scratch

python machine-learning numpy pandas support-vector-machines stochastic-gradient-descent

Updated Jun 15, 2020
Python

abdullahselek / spampy

Spam filtering module with Machine Learning using SVM (Support Vector Machines).

machine-learning numpy sklearn scipy support-vector-machines spam-classification enron-spam-dataset sklearn-classify

Updated Feb 27, 2021
Python

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