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114 search results found
Data Science Ipython Notebooks
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25,668
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
Onnx
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16,275
Open standard for machine learning interoperability
Best Of Ml Python
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14,990
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Machine_learning_complete
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4,296
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Pipeline
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4,158
PipelineAI
Artificial Intelligence Deep Learning Machine Learning Tutorials
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3,436
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
Practical Machine Learning With Python
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2,054
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Auto_ml
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1,442
[UNMAINTAINED] Automated machine learning for analytics & production
Alphapy
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1,003
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost
Windows Machine Learning
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945
Samples and Tools for Windows ML.
Onnxmltools
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896
ONNXMLTools enables conversion of models to ONNX
Data Science Portfolio
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833
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
Kymatio
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691
Wavelet scattering transforms in Python with GPU acceleration
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Hyperactive
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475
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Modelstore
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334
🏬 modelstore is a Python library that allows you to version, export, and save a machine learning model to your filesystem or a cloud storage provider.
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.
Scalecast
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292
The practitioner's forecasting library
Libfaceid
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290
libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.
Handson Ml2
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287
핸즈온 머신러닝 2/E의 주피터 노트북
Scikeras
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204
Scikit-Learn API wrapper for Keras.
Hg Mldl
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199
<혼자 공부하는 머신러닝+딥러닝>의 코드 저장소입니다.
Handson Ml2 Vn
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164
Jupyter Notebook cung cấp các kiến thức cơ bản về Học Máy và Học Sâu bằng Python với Scikit-Learn, Keras, và TensorFlow 2.
Qlik Py Tools
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132
Data Science algorithms for Qlik implemented as a Python Server Side Extension (SSE).
Sunstreaker
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126
以jax为后端的类似keras的框架
Ai Deployment
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116
关注AI模型上线、模型部署
Ds_and_ml_projects
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110
Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.
Hands On Machine Learning With Scikit Learn Keras And Tensorflow
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97
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
Ml_code
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94
A repository for recording the machine learning code
Python Machine Learning Book 3rd Edition
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93
<머신 러닝 교과서 3판>의 코드 저장소
Mloperator
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89
Machine Learning Operator & Controller for Kubernetes
Issue Tracking
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84
Questions, Help, and Issues for Comet ML
Ztdl Masterclasses
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80
Docker Python Deep Learning
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74
A container for Deep Learning with Python 3
Mlatimperial2017
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70
Materials for the course of machine learning at Imperial College organized by Yandex SDA
Data Science And Machine Learning Projects Dojo
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67
collections of data science, machine learning and data visualization projects with pandas, sklearn, matplotlib, tensorflow2, Keras, various ML algorithms like random forest classifier, boosting, etc
Mlkatas
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67
A series of challenges for practicing your Machine Learning and Deep Learning skills
Polyaxon Examples
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65
Code for tutorials and examples
Do It Dl
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61
<Do it! 딥러닝 입문> 도서의 주피터 노트북
Machine Learning In Python Workshop
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54
My workshop on machine learning using python language to implement different algorithms
Python Machine Learning Book 2nd Edition
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54
<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소
Recurrent Neural Network Pricing Model
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42
Price Prediction Case Study predicting the Bitcoin price and the Google stock price using Deep Learning, RNN with LSTM layers with TensorFlow and Keras in Python. (Includes: Data, Case Study Paper, Code)
Seizure Detection Tutorials
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41
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
The Deep Learning With Keras Workshop
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40
An Interactive Approach to Understanding Deep Learning with Keras
Kaggledatasets
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33
Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)
Text Classification Cn
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33
中文文本分类实践,基于搜狗新闻语料库,采用传统机器学习方法以及预训练模型等方法
Machine Learning Alpine
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31
Alpine Container for Machine Learning
Mlhandbook
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31
My textbook for teaching Machine Learning
Serveit
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31
Simple API serving for Python ML models
Agatha
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28
Stock market prediction using Keras
Deep_learning_projects
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28
Rbm_dbn
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27
Experimenting with RBMs using scikit-learn on MNIST and simulating a DBN using Keras.
Spotify_song_recommender
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24
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
Machine Learning For Dummies
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22
Series of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.
Hybrid Vocal Classifier
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21
a Python machine learning library for animal vocalizations and bioacoustics
Datascipy
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20
Data Science with Python
Lecture 3 Linear Models
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20
ICDSS Machine Learning Workshop Series: Linear Models
Handson Ml3
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20
<핸즈온 머신러닝 3판>의 주피터 노트북 저장소
Machine Learning
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19
All about Machine Learning and Deep Learning • Data → Model → Predict
Datacamp Courses Megacollection
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18
70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,
Paruluniversityai
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18
Artificial Intelligence Course at Parul University taught in Spring 2023 by Mr Smaranjit Ghose
Workshops
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17
Tribe of AI workshops curriculum
Sequence Classification
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15
Scikit-learn compatible sequence classifier
Mantis Ml Release
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15
mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens
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]
Tariq Ml Models
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14
This repository contains all my implemented Machine Learning and Deep Learning projects. All my learning from different books and the internet is reflected here. The models are trained on a variety of problems including NLP, CV and other domains. The main focus of this repository is to showcase my learning journey and the projects I have worked on.
Ml_course
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14
This repository belongs to the course of machine learning with Python which is getting ready for AUT
Cvopt
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12
Machine learning's parameter search and feature selection module which is integrated log management and visualization.
Rookieml
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12
A collection of notebooks explaining basic machine learning concepts
Serverless Machine Learning
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12
Examples of deploying scikit, spaCy and Keras (TensorFlow) machine learning models to AWS Lambda with Serverless framework and Python 3.
Virtual Voice Assistant
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12
Virtual Voice Assistant is a project that utilizes machine learning and natural language processing to enable users to control their devices using voice commands. Technologies used include TensorFlow, Keras, various Python libraries and RESTful APIs.
Keras2sql
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12
Deep Learning (Keras) Models Deployment using SQL databases
Laplace
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11
LSTM Model to predict BTCUSD ticker values
Onco
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10
ONCO is a cancer diagnosis/prognosis mobile application focused on the 3 main cancers of the thoracic region (Breast, Lung & Skin)
Coursera Guided Projects 2021
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10
Coursera Guided Projects 2021
Hyperparameters Search Examples
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10
Code examples for https://blog.floydhub.com/guide-to-hyperparameters
Python_libraries_for_ml_and_dl
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9
Introduction to Pandas, Scikit-Learn and Keras
Ignition
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9
PyTorch helper code
Stock Price Predictor
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9
Building an LSTM Recurrent Neural Network for Predicting Stock Market Prices.
Research Paper Summarization
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9
Text Summarization for Research Papers
Gas Classification
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9
Ml Algorithms On Scikit And Keras
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8
Implementation scripts of Machine Learning algorithms on Scikit-learn and Keras for complete novice..
Regressionmetrics
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8
Regression Metrics Calculation Made easy for tensorflow2 and scikit-learn
Timeseries Lstm Keras
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8
Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras base on tutorial of Jason Brownlee
Jupyter Devbox
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8
A Docker DevBox for Jupyter Notebook's with a focus on Computer Vision, Machine Learning, Statistics and Visualization.
Cheatsheets
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7
Here you find CheatSheets for Data Science Topics
Flair Detector
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7
This repo contains code for a Flair Detector made as a submission for MIDAS Internship task
Python For Machine Learning
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7
Repository for participants of the "Python for machine learning" training
Findkit
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7
A Python library for content-based information retrieval
Heart Disease Model
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7
We build models for heart disease prediction using scikit-learn and keras. Based on the 'Cleveland Dataset' available on kaggle.
Aws Ml Experimenter
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7
Framework for running ML models on Amazon EC2 and analyzing results with Shiny
Pysinn
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6
Shepard Interpolation Neural Network - Theano and Keras implementation
Ncaa 2018 Mens March Madness
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6
March Madness Predictions
Msc In Machine Learning And Artificial Intelligence
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6
Master of Science in Machine Learning & Artificial Intelligence - Indian Institute Technology Madras & Liverpool John Moores University
Geneticlearning
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6
Machine and Deep Learning algorithms to replace multi-objective functions in Genetic Algorithms
Mla_sani
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6
Yet another ml from scratch.
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
Cheatsheets
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6
This repo contains all the cheatsheets that I found Important.
Bbc_news_classification_comparison
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6
BBC News classification algorithm comparison
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