402 Open source projects that are alternatives of or similar to deepvis

Python code for common Machine Learning Algorithms

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

经典机器学习算法的极简实现

Explore high-dimensional datasets and how your algo handles specific regions.

Quick-Data-Science-Experiments

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Implement face recognition using PCA, LDA and LPP

文本聚类（Kmeans、DBSCAN、LDA、Single-pass）

Implementations of machine learning algorithm by Python 3

Animated Visualizations of Popular Machine Learning Algorithms

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.

BERT, LDA, and TFIDF based keyword extraction in Python

Efficient similarity search and clustering for Ruby

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

Migrated to: https://gitlab.com/Oslandia/osm-data-classification

Data Science algorithms and topics that you must know. (Newly Designed) Recommender Systems, Decision Trees, K-Means, LDA, RFM-Segmentation, XGBoost in Python, R, and Scala.

zAnalysis是基于Pascal语言编写的大型统计学开源库

Feature reduction projections and classifier models are learned by training dataset and applied to classify testing dataset. A few approaches of feature reduction have been compared in this paper: principle component analysis (PCA), linear discriminant analysis (LDA) and their kernel methods (KPCA,KLDA). Correspondingly, a few approaches of classification algorithm are implemented: Support Vector Machine (SVM), Gaussian Quadratic Maximum Likelihood and K-nearest neighbors (KNN) and Gaussian Mixture Model(GMM).

A collection of Poisson lognormal models for multivariate count data analysis

Template-Based Question Generation from Retrieved Sentences for Improved Unsupervised Question Answering

SJTU CS386 Digital Image Processing

A tidyverse suite for (pre-) machine-learning: cluster, PCA, permute, impute, rotate, redundancy, triangular, smart-subset, abundant and variable features.

[MICCAI'18] Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

📊 Computation and processing of models' parameters

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

PCA and DBSCAN based anomaly and outlier detection method for time series data.

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

H2Oai GPU Edition

Source code for the 2019 IEEE TIFS paper "PalmNet: Gabor-PCA Convolutional Networks for Touchless Palmprint Recognition"

PCA that iteratively replaces missing data

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.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

A lean C++ library for working with point cloud data

A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Official Repository of "Contextual Graph Markov Model" (ICML 2018 - JMLR 2020)

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

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

Fusion ICA Toolbox (MATLAB)

Code that might be useful to others for learning/demonstration purposes, specifically along the lines of modeling and various algorithms. Now almost entirely superseded by the models-by-example repo.

quaternion, euler angle, interpolation, cubic bezier, cubic spline, PCA, etc.

Classification of WAV files from cats and dogs

official implemntation for "Contrastive Learning with Stronger Augmentations"

Main component extraction for outlier detection

[ICCVW 2021] Rethinking Content and Style: Exploring Bias for Unsupervised Disentanglement

Workshop (6 hours): preprocessing, cross-validation, lasso, decision trees, random forest, xgboost, superlearner ensembles

Head-related Transfer Function Customization Process through Slider using PCA and SH in Matlab

HoG, PCA, PSO, Hard Negative Mining, Sliding Window, Edge Boxes, NMS

Version 2.1.0 released

Maximum Covariance Analysis in Python

🏗 Statistical models for biomolecular dynamics 🏗

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

An implementation of "Fusing Structure and Content via Non-negative Matrix Factorization for Embedding Information Networks".

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

Playing with MNIST. Machine Learning. Generative Models.

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น [2020]

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

Principal component analysis (PCA) in Ruby

Randomized Dimension Reduction Library