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242 search results found

Ailearning ⭐ 37,934

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

H2o 3 ⭐ 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.

Machinelearning_python ⭐ 5,892

机器学习算法python实现

Dimensionality_reduction_alo_codes ⭐ 1,949

特征提取/数据降维:PCA、LDA、MDS、LLE、TSNE等降维算法的python实现

Hyperlearn ⭐ 1,387

2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.

Prince ⭐ 1,161

👑 Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

H2o4gpu ⭐ 421

H2Oai GPU Edition

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

Machinelearninginaction Camp ⭐ 273

Adafruit_python_pca9685 ⭐ 243

Python code to use the PCA9685 PWM servo/LED controller with a Raspberry Pi or BeagleBone black.

Paintingreorganize ⭐ 218

Use PCA analysis to reorganize the pixels of a painting into a smooth color palette.

Machinelearningwithme ⭐ 191

A repository contains more than 12 common statistical machine learning algorithm implementations. 常见机器学习算法原理与实现

Pca Magic ⭐ 175

PCA that iteratively replaces missing data

Nlp_learning ⭐ 166

结合python一起学习自然语言处理 (nlp): 语言模型、HMM、PCFG、Word2vec、完形填空式阅读理解任务、朴素贝叶斯分类器、TFIDF、

Svm Classification Localization ⭐ 162

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

经典机器学习算法的极简实现

Alignedcelebfaces ⭐ 153

Better version of my face editing tool. Explanation video here: https://www.youtube.com/watch?v=NTlXEJjfsQU

Contrastive ⭐ 151

Contrastive PCA

Machine_learning_2018 ⭐ 146

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

Miscellaneous R Code ⭐ 140

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 Now almost entirely superseded by the models-by-example repo.

Pytorch implementation of Generated Image Quality Assessment

Tiny_ml ⭐ 137

numpy 实现的周志华《机器学习》书中的算法及其他一些传统机器学习算法

Machine Learning And Reinforcement Learning In Finance ⭐ 135

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

Python_for_data_science ⭐ 129

python_for_data_science

Batch balanced KNN

Msmbuilder ⭐ 124

🏗️ Statistical models for biomolecular dynamics 🏗️

Dse210_probability_statistics_python ⭐ 122

Probability and Statistics Using Python Data Science Masters Course at UCSD (DSE 210)

ASAP is a package that can quickly analyze and visualize datasets of crystal or molecular structures.

Robust Pca ⭐ 108

A simple Python implementation of R-PCA

Videoalignment ⭐ 107

Learning to align and match videos with kernelized temporal layers

2-d visualization of high-dimensional input: Python code for rendering t-SNE code with text labels for each point

Anomaly Detection ⭐ 99

UnSupervised and Semi-Supervise Anomaly Detection / IsolationForest / KernelPCA Detection / ADOA / etc.

A Python implementation of PCANet https://arxiv.org/abs/1404.3606

Ristretto ⭐ 94

Randomized Dimension Reduction Library

A repository for recording the machine learning code

Eigenlanes ⭐ 91

Official code for "Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes", CVPR2022

Kaggle Houseprices ⭐ 88

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

Change Detection In Satellite Imagery ⭐ 83

It employes Principal Component Analysis (PCA) and K-means clustering techniques over difference image to detect changes in multi temporal images satellite imagery.

Retrieval Regionalattention ⭐ 82

Code for 'Regional Attention Based Deep Feature for Image Retrieval (BMVC 2018)' https://sglab.kaist.ac.kr/RegionalAttention/

Sklearn Feature Engineering ⭐ 78

使用sklearn做特征工程

Hyperspectral_image_analysis_simplified ⭐ 77

The repository contains the implementation of different machine learning techniques such as classification and clustering on Hyperspectral and Satellite Imagery.

Tensorflow Implementation Of Lcnn ⭐ 76

A Tensorflow implementation of "A Light CNN for Deep Face Representation with Noisy Labels"

Nirpyresearch ⭐ 72

Snippets and data from the blog of Nirpy Research

Half Size ⭐ 72

Effective Dimensionality Reduction for Word Embeddings.

VIP is a python package/library for angular, reference star and spectral differential imaging for exoplanet/disk detection through high-contrast imaging.

Mnist Challenge ⭐ 64

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

Slik_python_package ⭐ 60

A data wrangling and modeling tool.

Gemelli is a tool box for running Robust Aitchison PCA (RPCA), Joint Robust Aitchison PCA (Joint-RPCA), TEMPoral TEnsor Decomposition (TEMPTED), and Compositional Tensor Factorization (CTF) on sparse compositional omics datasets.

Principal Component Analysis (PCA) for Missing and/or Noisy Data

Py_pansharpening ⭐ 56

Rewrite some pansharpening methods with python

Anna_anki_neuronal_appendix ⭐ 56

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

Autoencoder Tensorboard T Sne ⭐ 54

Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.

Ai_for_robotics ⭐ 53

Programming Exercises Accompanying the Lecture "Artificial Intelligence for Robotics"

Tensorflow_advanced_tutorials ⭐ 52

Tensorflow의 고급스러운 사용을 위한 튜토리얼 입니다.

Machinelearning ⭐ 52

โค้ดประกอบเนื้อหา Python Machine Learning เบื้องต้น

Zeek_anomaly_detector ⭐ 51

A completely automated anomaly detector Zeek network flows files (conn.log).

Orl_faces ⭐ 50

ORL人脸识别不同算法的实现，用到了scikit-learn,tensorflow等，任选5张训练，算法识别率 bp神经网络 0.8 pca+bp神经网络 0.85 小波变换+pca+bp神经网络 0.95 CNN 0.98 小波变换+pca+SVM 0.98####同时希望大家提出宝贵意见，欢迎学习交流，如果你喜欢该项目，请star或者fork一下

Maximum Covariance Analysis in Python

Mnist Baselines ⭐ 45

Baseline classifiers on the polluted MNIST dataset, SJTU CS420 course project

Official code of ECCV 2020 paper "GSNet: Joint Vehicle Pose and Shape Reconstruction with Geometrical and Scene-aware Supervision". GSNet performs joint vehicle pose estimation and vehicle shape reconstruction with single RGB image as input.

Nlp Qrmine ⭐ 40

Qualitative Research support tools in Python

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

Framework for analyzing low depth NGS data in heterogeneous populations using PCA.

Deepwalk_keras_igraph ⭐ 37

Reimplementation of deepwalk algorithm from https://github.com/phanein/deepwalk

Machinelearningnote ⭐ 37

用python实现机器学习各种经典算法

Anomaly Detection ⭐ 37

Dimensionality Reduction And Classification On Hyperspectral Images Using Python ⭐ 36

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

Learning Wasserstein Embeddings ⭐ 35

Keras implementation of Deep Wasserstein Embeddings

pyPhi is a python package to perform multivariate analysis using PCA and PLS methods

Playing_with_vae ⭐ 34

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

鼠标键盘流量包取证

Dataprocess ⭐ 30

慕课网公开课：数据预处理

Biteduml ⭐ 30

北京理工大学<Python机器学习应用>超详细学习笔记和代码注释(未完待续)

Robust Aitchison PCA from sparse count data

Principle Component Analysis in Python

Emotions Recognition From Audio Signal ⭐ 29

Emotions recognition from audio signal using OpenSmile, PCA and set of classifiers from Scikit-learn library

Glmpca Py ⭐ 28

generalized principal component analysis (GLM-PCA) implemented in python

Principal Components Analysis ⭐ 27

Python/Numpy PCA using the transpose trick.

Scipy2013 ⭐ 27

SciPy 2013 Data Processing Tutorial

Zeta Learn ⭐ 27

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Frequent Direction ⭐ 26

Implementation of Frequent-Directions algorithm for efficient matrix sketching [E. Liberty, SIGKDD2013]

This is the realization of core DeepLog

Machine Learning Models ⭐ 26

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

Ocr Machine Learning ⭐ 25

OCR Machine Learning in python

Osm Data Classification ⭐ 24

OpenStreetMap Data Classification

Statslibrary ⭐ 24

统计分析课程实验作业/包含《统计分析方法》中因子分析，主成分分析，Kmeans聚类等典型算法的手写实

Micropython Adafruit Pca9685 ⭐ 24

Micropython driver for 16-channel, 12-bit PWM chip the pca9685

Robust PCA in Python

Machine Learning Algorithm ⭐ 22

【Numpy 手写实现】SVM 支持向量机 | KNN K近邻 | Kmeans | Logistic Regression 逻辑回归 | Maximum Entropy 最大熵 | Naive Bayes 朴素贝叶斯 | Perception 感知机 | Decision Tree 决策树 | Random Forest 随机森林 | DBDT | GDA 高斯判别分析 | PCA 主成分分析 | LDA 线性判别分析

Python+Rust implementation of the Probabilistic Principal Component Analysis model

Machine Failure Detection ⭐ 21

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

Svm_pca_face_detection ⭐ 21

PCA+SVM+KFold方法人脸识别（Face Detection using PCA+SVM）

Mathsymbolrecognizer ⭐ 21

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

Cshl Singlecell 2017 ⭐ 20

Single Cell Analysis course at Cold Spring Harbor Laboratory 2017

Susiepca ⭐ 20

Scalable Ultra-Sparse Bayesian PCA

Chemometrics ⭐ 19

Python library for chemometric data analysis

Face Recogntion ⭐ 19

Face recognition project using PCA and SVM

Patternrecognitionanddeeplearning Lab ⭐ 19

2019春哈工大模式识别与深度学习实验

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