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sklearn
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284 search results found
Tutorials
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8,562
机器学习相关教程
Superduperdb
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3,924
🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search.
Hands On Ml Zh
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3,730
📖 [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】
Igel
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3,037
a delightful machine learning tool that allows you to train, test, and use models without writing code
Kserve
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2,719
Standardized Serverless ML Inference Platform on Kubernetes
Deeplearning
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2,347
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
Aws Machine Learning University Accelerated Nlp
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2,150
Machine Learning University: Accelerated Natural Language Processing Class
Awesome Python Data Science
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2,126
Probably the best curated list of data science software in Python.
Karateclub
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1,950
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
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
Capsgnn
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1,180
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
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
Aws Machine Learning University Accelerated Tab
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931
Machine Learning University: Accelerated Tabular Data Class
Machinelearningstocks
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851
Using python and scikit-learn to make stock predictions
Datastream.io
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761
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
Cryptocurrencyprediction
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715
Predict Cryptocurrency Price with Deep Learning
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Deep Learning From Scratch
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590
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《
Simgnn
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540
A PyTorch implementation of "SimGNN: A Neural Network Approach to Fast Graph Similarity Computation" (WSDM 2019).
Graphwaveletneuralnetwork
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501
A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)
The Elements Of Statistical Learning Python Notebooks
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441
A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book
Sklearn Evaluation
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429
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 Classification
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402
Data Science Notebook on a Classification Task, using sklearn and Tensorflow.
Machine Learning
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397
Implementation of different ML Algorithms from scratch, written in Python 3.x
Emotion Recognition Using Speech
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392
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Daily Stock Forecast
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334
Daily Stock Forecasts using Machine Learning & Python
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.
Attentionwalk
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299
A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).
Recsys_core
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268
[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集,构建以FM和LR为核心的电影推荐系统).
Openuba
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264
A robust, and flexible open source User & Entity Behavior Analytics (UEBA) framework used for Security Analytics. Developed with luv by Data Scientists & Security Analysts from the Cyber Security Industry. [PRE-ALPHA]
Gam
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257
A PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Textclassificationimplement
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242
’达观杯‘文本智能处理挑战赛,文本分类任务的实现,包括一些传统的监督学习算法和深度学习算法,主要基于
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
Machine Learning For Beginner By Python3
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225
为机器学习的入门者提供多种基于实例的sklearn、TensorFlow以及自编函数(AnFany)
Codeflare
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199
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Machine Learning
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196
从零基础开始机器学习之旅
Danmf
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187
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Skpro
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173
A unified framework for tabular probabilistic regression and probability distributions in python
Crepes
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172
Conformal classifiers, regressors and predictive systems
Automl_alex
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171
State-of-the art Automated Machine Learning python library for Tabular Data
Py_ml_utils
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167
Some small utility modules to help with pandas, numpy and sklearn usage in other projects
Autosklearn Zeroconf
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163
autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset with known outcomes (labels) and it returns a list of predicted outcomes for your new data. It even estimates the precision for you! The engine is tuning massively parallel ensemble of machine learning pipelines for best precision/recall.
Machine Learning Projects
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163
This repository consists of all my Machine Learning Projects.
Role2vec
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157
A scalable Gensim implementation of "Learning Role-based Graph Embeddings" (IJCAI 2018).
Ml Cheatsheet
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149
A constantly updated python machine learning cheatsheet
Scikit Learn Ts
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142
Powerful machine learning library for Node.js – uses Python's scikit-learn under the hood.
Boostaroota
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139
A fast xgboost feature selection algorithm
Tiny_ml
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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
Qlik Py Tools
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132
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Gmr
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132
Gaussian Mixture Regression
Deepsuperlearner
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126
DeepSuperLearner - Python implementation of the deep ensemble algorithm
Machine_learning
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111
Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
Pycave
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106
Traditional Machine Learning Models for Large-Scale Datasets in PyTorch.
Go Featureprocessing
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98
🔥 Fast, simple sklearn-like feature processing for Go
Ml_code
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94
A repository for recording the machine learning code
Spammessage
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93
中文垃圾短信识别(手写分类器)
Facial Expression Recognition Svm
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91
Training SVM classifier to recognize people expressions (emotions) on Fer2013 dataset
Sdk
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89
Metadata store for Production ML
Data Science Machine Learning
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88
The overall objective of this toolkit is to provide and offer a free collection of data analysis and machine learning that is specifically suited for doing data science. Its purpose is to get you started in a matter of minutes. You can run this collections either in Jupyter notebook or python alone.
Dataminingnotesandpractice
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88
记录我学习数据挖掘过程的笔记和见到的奇技,持续更新~
Cs 7641 Assignments
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87
CS 7641 - All the code
Py Glm
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86
Generalized Linear Models in Sklearn Style
Bayesmark
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84
Benchmark framework to easily compare Bayesian optimization methods on real machine learning tasks
Pipelinevis
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79
Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.
Rps Cv
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78
A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi
Ec Kity
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78
EC-KitY is a scikit-learn-compatible Python tool kit for doing evolutionary computation.
Awesome Python Machine Learning Resources
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77
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
House Price Prediction
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77
房价预测完整项目:1.爬取链家网数据 2.处理后,用sklearn中几个逻辑回归机器学习模型和keras神经网络搭建模型预测房价 最终结果神经网络效果更好,R^2值0.75左右
Intro To Sklearn
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76
Notebooks covering introductory material to ML, ML with sklearn and tips.
Sklearn Pmml Model
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75
A library to parse and convert PMML models into Scikit-learn estimators.
Flask Angular Data Science
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74
Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-ma
Ml_for_learner
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70
Implementations of the machine learning algorithm with Python and numpy
Mlatimperial2017
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70
Materials for the course of machine learning at Imperial College organized by Yandex SDA
Sine
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69
A PyTorch Implementation of "SINE: Scalable Incomplete Network Embedding" (ICDM 2018).
Tempo
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67
MLOps Python Library
Covid19 Literature Clustering
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63
An approach to document exploration using Machine Learning. Let's cluster similar research articles together to make it easier for health professionals and researchers to find relevant research articles.
Examples
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60
📝 Examples of how to use Neptune for different use cases and with various MLOps tools
Rgb Neural Net
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60
Physical visualisation of neural network learning using RGB leds, arduino and raspberry pi.
Home Credit Default Risk
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59
Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline
Machine Learning
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56
Machine Learning for Social Scientists
Mlprodict
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55
Productionize machine learning predictions, with ONNX or without
Python For Data Science
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53
This is the repository for the course Python for Data Science covering Python Basics, Data Science Libraries (e.g., Pandas, Matplotlib, Sklearn).
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.
Facial Recognition Python Django
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53
Face detection and facial recognition along with recognized persons information fetched from database.
Sklearn Xarray
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52
Metadata-aware machine learning.
Human In The Loop Machine Learning Tool Tornado
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49
Tornado is a human-in-the-loop machine learning framework that helps you exploit your unlabelled data to train models through a simple and easy to use web interface.
Ml Time Series Analysis On Sales Data
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47
Time Series Decomposition techniques and random forest algorithm on sales data
Datascience365
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47
DataScience365
Sciblox
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46
sciblox - Easier Data Science and Machine Learning
Machinelearning
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44
机器学习教程,本教程包含基于numpy、sklearn与tensorflow机器学习,也会包含利用s
Sklearn Cookbook Zh
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44
📖 [译] Scikit-learn 秘籍
Skippa
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43
SciKIt-learn Pipeline in PAndas
Basis Expansions
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40
Basis expansion transformers in sklearn style.
Cracking Kaggle Competitions
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40
Different approaches for different Classical Machine Learning, and NLP competitions from Kaggle.
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