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Search results for scikit learn sklearn
scikit-learn
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sklearn
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104 search results found
Ailearning
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37,934
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
Auto Sklearn
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7,262
Automated Machine Learning with scikit-learn
Igel
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3,037
a delightful machine learning tool that allows you to train, test, and use models without writing code
Awesome Python Data Science
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2,126
Probably the best curated list of data science software in Python.
Hyperlearn
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1,387
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Imodels
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1,229
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
Traingenerator
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1,184
🧙 A web app to generate template code for machine learning
Sklearn Porter
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1,150
Transpile trained scikit-learn estimators to C, Java, JavaScript and others.
Sparkit Learn
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1,054
PySpark + Scikit-learn = Sparkit-learn
Machinelearningstocks
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851
Using python and scikit-learn to make stock predictions
Sklearn Deap
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731
Use evolutionary algorithms instead of gridsearch in scikit-learn
Hungabunga
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698
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Jpmml Sklearn
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519
Java library and command-line application for converting Scikit-Learn pipelines to PMML
Sklearn Onnx
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491
Convert scikit-learn models and pipelines to ONNX
Tune Sklearn
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461
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
Profanity Check
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456
A fast, robust Python library to check for offensive language in strings.
Sklearn Evaluation
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447
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Blocklyml
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421
BlocklyML is a simple visual programming Tool for python and ML. 🧩 🖥️
Sklearn Crfsuite
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381
scikit-learn inspired API for CRFsuite
Emlearn
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327
Machine Learning inference engine for Microcontrollers and Embedded devices
Thesemicolon
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312
This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.
Sklearn Genetic
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297
Genetic feature selection module for scikit-learn
Sklearnflask
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256
Flask API for training and predicting using scikit learn models
Sklearn Genetic Opt
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236
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Imbalanced Ensemble
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234
Class-imbalanced Ensemble Learning in Python. | 类别不平衡/长尾机器学习库
Porndetector
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219
Porn images detector with python, tensorflow, scikit-learn and opencv.
Crepes
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172
Conformal classifiers, regressors and predictive systems
Scikit Learn Ts
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142
Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.
Python Flask Sklearn Docker Template
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135
A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker
Qlik Py Tools
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132
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Bert Sklearn
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119
a sklearn wrapper for Google's BERT model
Stocks
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119
machine learning web app game where the user competes against the AI in picking stocks
Ml_code
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94
A repository for recording the machine learning code
Facial Expression Recognition Svm
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91
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
Ml Webinar
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87
Machine Learning with sklearn tutorials (for Pearson)
Topicwizard
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81
Powerful topic model visualization in Python
Ec Kity
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78
EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.
Sklearn Pmml Model
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75
A library to parse and convert PMML models into Scikit-learn estimators.
Mlatimperial2017
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70
Materials for the course of machine learning at Imperial College organized by Yandex SDA
Sklearn Audio Transfer Learning
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67
A didactic toolkit to rapidly prototype audio classifiers with pre-trained Tensorflow models and Scikit-learn
Mlprodict
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55
Productionize machine learning predictions, with ONNX or without
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.
Sklearn Xarray
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52
Metadata-aware machine learning.
Sklearn Cookbook Zh
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44
📖 [译] Scikit-learn 秘籍
Skippa
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43
SciKIt-learn Pipeline in PAndas
Sklearn Interpretable Tree
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42
Simplified tree-based classifier and regressor for interpretable machine learning (scikit-learn compatible)
Spark Sklearn Airbnb Predict
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42
Code example to predict prices of Airbnb vacation rentals, using scikit-learn on Spark with spark-sklearn, on MapR.
Kmeans_elbow
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35
Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'
Skutil
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30
NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil
Sklearn Nature Inspired Algorithms
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27
Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.
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
Breast Cancer Scikitlearn
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27
simple tutorial on Machine Learning with Scikitlearn
Awesome Scikit Learn
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26
A curated list of awesome scikit-learn resources and libraries
Chemotools
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24
Integrate your chemometric tools with the scikit-learn API 🧪 🤖
Python Sklearn Classifier Cookiecutter
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24
Cookiecutter template for testing Python scikit-learn classifiers.
Kafkaml Anomaly Detection
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23
Demo project for real-time anomaly detection using Kafka and python
Anai
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22
A to Z of ML
Sklearn Audio Classification
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19
An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP
Ocaml Sklearn
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19
scikit-learn for OCaml
Face_gender
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18
A simple demo of gender classifier by using dlib face recognition model as a feature extractor
Scikit Learn
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17
به فارسی، برای مشارکت scikit-learn
Cryptocurrency Prediction With Artificial Intelligence V3.0 Gru Neural Network
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15
Cryptocurrency Prediction with Artificial Intelligence V3.0 [GRU Neural Network]
Kaio Machine Learning Human Face Detection
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15
Machine Learning project a case study focused on the interaction with digital characters, using a character called "Kaio", which, based on the automatic detection of facial expressions and classification of emotions, interacts with humans by classifying emotions and imitating expressions
Hpbandster Sklearn
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15
A scikit-learn wrapper for HpBandSter hyper parameter search.
Playground
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15
A Streamlit application to play with machine learning models directly from the browser
Python Sklearn Regression Cookiecutter
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13
Cookiecutter template for testing Python scikit-learn regression learners.
Python3 Docker Devenv
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13
Docker Start Guide with Python Development Environment
Twitter Toxicity Detection Flask
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13
This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.
Python Sklearn Clustering Cookiecutter
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13
Cookiecutter template for testing Python scikit-learn clustering learners.
Babycrydetector
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13
A baby cry detector written with matlab and a classifier based on sklearn.
Heart Diagnosis Engine
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12
2019년 민족사관고등학교 졸업 프로젝트
Scikit Nni
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12
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
Sklearn Rvm
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11
An sklearn style implementation of the Relevance Vector Machine (RVM).
Laplace
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11
LSTM Model to predict BTCUSD ticker values
Aias
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11
AIAS (Artifical Intelligence AntiSpam) is an open-source Discord bot that has innovative moderation features, such as nextgen word filter and AI-based spam detection.
Koza4ok
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10
Sklearn Features
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9
Helpful tools for building feature extraction pipelines with scikit-learn
Ml Helper
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9
Python library with helpers to speed up and structure machine learning projects.
Ntmaldetect
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9
Open source malware detection program using machine learning algorithms on system call traces.
Scikit Spark
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8
Spark acceleration for Scikit-Learn cross validation techniques
Sklearn Deltatfidf
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8
DeltaTfidfVectorizer for scikit-learn
Gmm_digital_voice_recognition
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8
基于GMM与MFCC特征进行数字0-9的语音识别,GMM,MFCC,语音识别,中文数据,sklear Voice Recognition。
Sentiment Analyzer
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8
Model for Sentiment Analysis using Naive Bayes and CNN, and implementation of Model on Tweets and Web Application using React
Heroku Flask Sklearn
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8
Heroku buildpack: Python, Numpy, Scipy, Scikit-learn along with instructions to install Flask, the web framework, and Gunicorn, the web server.
Sklearn Ann
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7
Integration with (approximate) nearest neighbors libraries for scikit-learn + clustering based on with kNN-graphs.
Sktools
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7
Helpers for scikit learn
Imagerecognitionai
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7
Recognition of the images with artificial intelligence includes train and tests based on Python.
Twitter Toxicity Detection Tkinter
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6
This is a simple python program which uses a machine learning model to detect toxicity in tweets, GUI in Tkinter.
Sklearn Neighbors Benchmark
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6
📊 Scikit-learn nearest neighbors algorithms benchmark
Sklearn
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6
scikit-learn (sklearn) 常用的机器学习,包括回归(Regression)、降维(Dimensionality Reduction)、分类(Classfication)、聚类(Clustering)等方法
Car Price Prediction Highly Comprehensive Linear Regression Project
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6
A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in the U.S automobile industry. A highly comprehensive analysis with detailed explanation of all steps; data cleaning, exploration, visualization, feature selection, model building, evaluation & MLR assumptions validity.
Deep Learning For Data Science
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6
Deep Learning Case Studies with Tensorflow and Keras for Beginners-Advanced: ANN, CNN, RNN, Self-Organizing Maps, Boltzmann Machines, Stacked Autoencoders
Pmf
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6
Probabilistic Matrix Factorization on MovieLens 100K
Sklearn Optimize
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6
Optimize hyperparameters for a support vector machine classifier (SVC) in scikit-learn via genetic algorithm
Scikit Ext
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6
Various scikit-learn extensions
Dockerized_data_science_playground
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6
Multi-docker container data science / engineering playground (w/ Kafka, Airflow, MLFlow, Tensorflow-Keras / SKLearn) for simulating a microservices-oriented architecture
20171206_ml_basics_thw
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6
Kdd Cup 99 Python
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6
Analysis and preprocessing of the kdd cup 99 dataset using python and scikit-learn
Woodpecker
⭐
6
A python library used for tree structure interpretation.
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