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Search results for python machine learning algorithms
machine-learning-algorithms
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python
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390 search results found
Smqtk
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73
Python toolkit for pluggable algorithms and data structures for multimedia-based machine learning.
Covid19
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72
Using Kalman Filter to Predict Corona Virus Spread
Machine Learning Notebooks
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69
🤖 An authorial set of fundamental python recipes on Machine Learning and Artificial Intelligence.
100daysofml
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67
100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building
Whitehat
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66
Information about my experiences in cybersecurity 💀
Algo Scriptml
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66
Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.
Crispy
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64
Crispy is a machine-learning algorithm to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames
Male5
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62
Machine Learning repository for MQL5
Free Artificial Intelligence Resources
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62
Welcome, to this Open Source Repository regarding FREE ARTIFICIAL INTELLIGENCE RESOURCE. Get Benefit from the free resources mention & kindly five STAR & FORK this so that it can get maximum Fame so that Everyone can take advantage.
Django_web
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60
✨ DJANGO3.1 网站,集成用户管理,文章博客管理,算法模型可视化系统等功能
Stock Price Trade Analyzer
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60
This is a Python 3.0 project for analyzing stock prices and methods of stock trading. It uses native Python tools and Google TensorFlow machine learning.
Machine Learning
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57
Python implementation of machine learning algorithms
Moo Gbt
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54
Library for Multi-objective optimization in Gradient Boosted Trees
Machine Learning_zero To Hero
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53
Welcome to Machine Learning: Zero to Hero: From the fundamentals of machine learning to advanced techniques like regressions, classification, clustering, Neural Networks, OpenCV, Recommendation Engines and more, this Python-based repository provides a comprehensive guide for mastering ML.
Coursera_ml_da_specialization
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53
Coursera Specialization: Machine Learning and Data Analysis (Yandex & MIPT)
Genieclust
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53
Genie: Fast and Robust Hierarchical Clustering with Noise Point Detection - in Python and R
Time Series Analysis And Forecasting With Python
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53
Time Series Analysis and Forecasting in Python
Machine_learning_code
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52
《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/catBoost/F
Extra Model
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50
Code to run the ExtRA algorithm for unsupervised topic/aspect extraction on English texts.
Tf Decompose
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49
Tensor decomposition implemented in TensorFlow
Heart_disease_prediction
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49
Heart Disease prediction using 5 algorithms
Fly Lsh
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48
An implementation of efficient LSH inspired by fruit fly brain
Xplainable
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48
Real-time explainable machine learning for business optimisation
Linxgboost
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48
Extension of the awesome XGBoost to linear models at the leaves
25daysinmachinelearning
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48
I will update this repository to learn Machine learning with python with statistics content and materials
Tabnet Modified
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47
Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"
Liquidsvm
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45
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-s
Koopmanae
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45
Consistent Koopman Autoencoders
Threatreportextractor
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44
Extracting Attack Behavior from Threat Reports
Pylda
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44
A Latent Dirichlet Allocation implementation in Python.
Upside Down Reinforcement Learning
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44
Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.
Influence_boosting
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43
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
Reweighted Ws
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43
Implementation of the reweighted wake-sleep machine learning algorithm
Adventures With Ann
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41
All the code for a series of Medium articles on Approximate Nearest Neighbors
Minerva Training Materials
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41
Learn advanced data science on real-life, curated problems
Pfeature
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41
A software package for computing features of peptides and proteins
Pycorels
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40
Public home of pycorels, the python binding to CORELS
Tensorflow_ml_algorithms
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40
Implementations of machine learning algorithms in Tensorflow: MLP, RNN, autoencoder, PageRank, KNN, K-Means, logistic regression, and OLS regression
Csmath 2022
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39
This mathematics course is taught for the first year Ph.D. students of computer science and related areas @zju
Kaggle Courses
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39
Courses on Kaggle
Bihm
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38
Bidirectional Helmholtz Machines
Fastml
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37
A Python package built on sklearn for running a series of classification Algorithms in a faster and easier way.
Hsom
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36
Hierarchical self-organizing maps for unsupervised pattern recognition
Ml Based Network Traffic Classifier
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35
Network traffic classifier based on machine learning algorithms
Sia Cog
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35
Various cognitive api for machine learning, vision, language intent alalysis. Covers traditional as well as deep learning model design and training.
Artificial_neural_networks
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35
A collection of Methods and Models for various architectures of Artificial Neural Networks
Grokking Machine Learning
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35
This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
Multitrain
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34
Test several machine learning models on your dataset with few lines of code
Learn Machine Learning In 3 Month
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34
Innovative Hacktober
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33
Make a pull request. Let's hack the ocktober in an innovative way.
Malwaredetector
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33
Android malware detection by machine learning algorithms
Python Course
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33
Python Basics, Machine Learning and Deep Learning
Linear_chain_crf
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33
A HMM-like linear-chain CRF, used Tensorflow API. 🐣
Spams Python
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33
A rehost of the python version of SPArse Modeling Software (SPAMS)
Binary Neural Networks
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32
Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.
Astrostatistics_bicocca_2023
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32
Astrostatistics and Machine Learning class for the MSc degree in Astrophysics at the University of Milan-Bicocca (Italy)
Handwritten Digits Classification Using Knn Multiclass_perceptron Svm
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32
🏆 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.
Swblog
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32
machine learning practitioner, android and python
Persistable
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31
density-based clustering for exploratory data analysis based on multi-parameter persistence
Calcumlator
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30
An intelligently dumb calculator that uses machine learning
Autocnn
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30
This project is the implementation of the "Automatically Designing CNN Architectures Using Genetic Algorithm for Image Classification" paper
Fromscratchtoml
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29
The machine learning library you really understand.
Ugtm
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29
ugtm: a Python package for Generative Topographic Mapping
Machine Learning
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29
A collection of Machine Learning algorithms in Python written from scratch.
Machine Learning
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29
Basic algorithms about machine learnig
Applied Machine Learning Course
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28
This course covers the applied side of algorithmics in machine learning and deep learning, focusing on hands-on coding experience in Python.
Machine Learning Roadmap
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28
Roadmap to becoming Machine Learning Engineer in 2022
Machinelearningseries
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28
Vídeos e códigos do Universo Discreto ensinando o fundamental de Machine Learning em Python. Para mais detalhes, acompanhar a playlist listada.
Hawk I
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28
Automatic extract anomalious Web attack Payloads with Unsupervised Machine Learning algorithms
Reinforcement Learning
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27
Implementation of various Reinforcement Learning Algorithms
Wisconsin Breast Cancer
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27
[ICMLSC 2018] On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset
Machine Learning With Scikit Learn Python 3.x
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27
In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dimensional entry (aka multivariate data), it is said to have several attributes or features. Learning problems fall into a few categories: supervised learning, in which the data comes with additional attributes that we want to predict (Click here to go to the scikit-learn supervised learning page).This
List
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26
Lite Self-Training
Ai Ml Ds Learning Series
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26
Collection of all Machine Learning and Deep Learning algorithms which would be helpful for beginners
Machine Learning Nd Portfolio
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25
Machine Learning Engineer Nanodegree portfolio, which includes projects and their notebooks/reports.
Noml
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25
A notebook for machine learning interview
Machine Learning
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25
A repo to explain algorithm in machine learning with CHINESE
Orange3 Educational
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25
🍊 🎓 Educational widgets for machine learning and data mining in Orange 3.
Face Detection And Facial Expression Recognition
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25
A systematic comparison of different machine learning & deep learning classification approaches applied to the problem of fully automatic recognition of Facial Expressions.
Datascience Mashup
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25
In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
Machine Learning Tutorial
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23
Machine Learning Tutorial
Bonsai Dt
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23
Programmable Decision Tree Framework
Pyalgo Tree
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23
👍This project aims to be a finest hub of various data structures and algorithms using python. Feel free to contribute and show your support by ✨ this repository.
Ml Algorithms
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22
List of some top machine learning algorithms. Just give a dive and explore the world of ML
Artificial Intelligence
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22
IIIT Allahabad B. Tech. (IT) 5th Semester Artificial Intelligence Lab Assignments + HackerRank Artificial Intelligence Track
Grokking Machine Learning
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22
This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
Ppca_rs
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22
Python+Rust implementation of the Probabilistic Principal Component Analysis model
Anai
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22
A to Z of ML
Fb Ads Opt Ucb
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21
The easiest way to optimize Facebook Ads using Upper Confidence Bound Algorithm. 💻
Osdg Tool
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21
OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.
Bikely
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21
Buy a second-hand bike at the best price
Lssvmlib
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21
This repository provides a Python3 Library with implementations of the Least-Squares Support Vector Machine (LS-SVM) machine learning model. The Classes are designed to integrate smoothly with the scikit-learn library.
Ml Algorithms
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21
Fully functional implementations of the most popularly used machine learning algorithms, in Python.
Event_representation_study
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21
Official PyTorch implementation of the ICCV 2023 paper: From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection.
Flad
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20
Few-shot Learning with Auxiliary Data
Self Driving Car
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20
Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track
Plsregressor.jl
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20
Implementation of a Partial Least Squares Regressor
Socialpowernba
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20
Social Power in the NBA (Comparing on the court performance with Social Influence in R and Python)
Odmd
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20
AI4Science: Python/Matlab implementation of online and window dynamic mode decomposition (Online DMD and Window DMD)
Dolphinml
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19
A Handmade machine learning Algorithm library. It is simple enough. cover most common ML Algorithm.
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