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The Top 829 Jupyter Notebook Python3 Machine Learning Open Source Projects on Github

Categories > Data Processing > Jupyter Notebook
Categories > Machine Learning > Machine Learning
Machine_learning_basics ⭐ 3,403
Plain python implementations of basic machine learning algorithms
Python Is Cool ⭐ 2,468
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
Girls In Ai ⭐ 2,134
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Machine Learning ⭐ 1,882
🌎 machine learning tutorials (mainly in Python3)
Learn Machine Learning In Two Months ⭐ 1,633
Những kiến thức cần thiết để học tốt Machine Learning trong vòng 2 tháng. Essential Knowledge for learning Machine Learning in two months.
Machine Learning ⭐ 1,187
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
Face Mask Detection ⭐ 1,068
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Pythoncode Tutorials ⭐ 868
The Python Code Tutorials
Food Recipe Cnn ⭐ 480
food image to recipe with deep convolutional neural networks.
Monk_object_detection ⭐ 477
A one-stop repository for low-code easily-installable object detection pipelines.
Monk_v1 ⭐ 435
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
Agile_data_code_2 ⭐ 423
Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition
100daysofmlcode ⭐ 369
Python ⭐ 328
This repository helps you understand python from the scratch.
Pytorch Tutorials Examples And Books ⭐ 316
PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍
Data Science Hacks ⭐ 300
Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
Machine Learning ⭐ 264
my machine-learning tutorial
Pytorch Kaggle Starter ⭐ 258
Pytorch starter kit for Kaggle competitions
Functional_intro_to_python ⭐ 239
[tutorial]A functional, Data Science focused introduction to Python
The Elements Of Statistical Learning Notebooks ⭐ 197
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
The Elements Of Statistical Learning ⭐ 196
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
Image_generator ⭐ 180
DCGAN image generator 🖼️.
Ktext ⭐ 176
Utilities for preprocessing text for deep learning with Keras
Algobook ⭐ 157
A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨
Tradinggym ⭐ 136
Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
Datasist ⭐ 128
A Python library for easy data analysis, visualization, exploration and modeling
Project Guidance ⭐ 127
🌟 The Ultimate resources for beginner to advance level projects all at one place 💻 🎯🚀
Insightface Just Works ⭐ 119
Insightface face detection and recognition model that just works out of the box.
Ml Projectkart ⭐ 118
🙌Kart of 210+ projects based on machine learning, deep learning, computer vision, natural language processing and all. Show your support by ✨ this repository.
Machine Learning Concepts ⭐ 96
Machine Learning Concepts with Concepts
30 Days Of Ml Kaggle ⭐ 93
Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.
Lstm_chem ⭐ 91
Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.
Machine Learning ⭐ 85
My Attempt(s) In The World Of ML/DL....
Mathy ⭐ 85
Tools for using computer algebra systems to solve math problems step-by-step with reinforcement learning
Disease Prediction From Symptoms ⭐ 78
Disease Prediction based on Symptoms.
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.
Cs229 Python ⭐ 74
Exercises and solutions to Stanford CS229 Machine Learning in Python
Ml_for_learner ⭐ 70
Implementations of the machine learning algorithm with Python and numpy
Ensae_teaching_cs ⭐ 69
Teaching materials in python at the @ENSAE
The Sparks Foundation ⭐ 68
📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻
Keras Video Generators ⭐ 66
Keras generators to generate sequences from videos as input
Machinelearning ⭐ 65
Machine learning for beginner(Data Science enthusiast)
Nutshell Machine Learning ⭐ 62
This is a repository built by the community for the community.
Healthcheck ⭐ 58
Health Check ✔ is a Machine Learning Web Application made using Flask that can predict mainly three diseases i.e. Diabetes, Heart Disease, and Cancer.
Seismicpro ⭐ 57
Seismic data processing with ML and deep learning
Seismiqb ⭐ 54
Seismic data interpretation with deep learning
One_cycle_policy ⭐ 52
Pytorch notebook with One Cycle Policy implementation (https://arxiv.org/abs/1803.09820)
Nlp Class ⭐ 51
A Natural Language Processing course taught by Professor Ghassemi
25daysinmachinelearning ⭐ 48
I will update this repository to learn Machine learning with python with statistics content and materials
Hacktoberfest_2021 ⭐ 46
Hacktoberfest 2021 contribution repository✨
Analisis Numerico Computo Cientifico ⭐ 43
Análisis numérico y cómputo científico
Loan Approval Prediction ⭐ 40
Loan Application Data Analysis
Kohonen Maps ⭐ 38
Implementation of SOM and GSOM
Minerva Training Materials ⭐ 38
Learn advanced data science on real-life, curated problems
Practical_opencv3_python ⭐ 37
Projects for Video Series titled "Practical OpenCV3 Image Processing with Python"
Renko_trend_following_strategy_catalyst ⭐ 37
Example of adaptive trend following strategy based on Renko
Ml With Python And Keras ⭐ 35
Based off Deep Learning with Python by François Chollet
Grokking Machine Learning ⭐ 35
This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
Bayseg ⭐ 35
An unsupervised machine learning algorithm for the segmentation of spatial data sets.
Hands On Ml ⭐ 34
Hands-On Machine Learning
Python Course ⭐ 33
Python Basics, Machine Learning and Deep Learning
Loan Defaulter Prediction Machine Learning ⭐ 31
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
Machine Learning ⭐ 31
The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Python For Text Classification ⭐ 29
Python for Text Classification with Machine Learning in Python 3.6.
Predict Opioid Prescribers ⭐ 28
A pattern focusing on how to use scikit learn and python in Watson Studio to predict opioid prescribers based off of a 2014 kaggle dataset.
Machine Learning With Scikit Learn Python 3.x ⭐ 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 problem can be either: classification: samples belong to two or more classes and we want to learn from already labeled data how to predict the class of unlabeled data. An example of a classification problem would be handwritten digit recognition, in which the aim is to assign each input vector to one of a finite number of discrete categories. Another way to think of classification is as a discrete (as opposed to continuous) form of supervised learning where one has a limited number of categories and for each of the n samples provided, one is to try to label them with the correct category or class. regression: if the desired output consists of one or more continuous variables, then the task is called regression. An example of a regression problem would be the prediction of the length of a salmon as a function of its age and weight. unsupervised learning, in which the training data consists of a set of input vectors x without any corresponding target values. The goal in such problems may be to discover groups of similar examples within the data, where it is called clustering, or to determine the distribution of data within the input space, known as density estimation, or to project the data from a high-dimensional space down to two or three dimensions for the purpose of visualization (Click here to go to the Scikit-Learn unsupervised learning page).
Prediciting Binary Options ⭐ 25
Predicting forex binary options using time series data and machine learning
Srgan Keras Implementation ⭐ 24
Photo Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras
Sport With Ai ⭐ 23
The human body is detected with the help of the Mediapipe library. Then, using the mathematical methods applied, it is determined how much the exercise count is done.
Grokking Machine Learning ⭐ 22
This repo aims to contain different machine learning use cases along with the descriptions to the model architectures
Python Data Science Handbook ⭐ 22
A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译
Ml Algorithms ⭐ 22
List of some top machine learning algorithms. Just give a dive and explore the world of ML
Credit Risk Analysis ⭐ 21
Nearest Celebrity Face ⭐ 20
A python application that uses Deep Learning to find the celebrity whose face matches the closest to yours. The input face is encoded with a pretrained inception model into a vector and then its geometric distance is calculated with the encoded vectors of all the images present in the dataset and the image with the least distance is selected.
Turma Introducao 2019.1 ⭐ 20
Material for the ML/DS course developed by DATA for 2019.
Loan_prediction ⭐ 20
Heart_disease_prediction ⭐ 19
Heart Disease prediction using 5 algorithms
Ai Trader ⭐ 19
Bitcoin / Crypto AI Trading Bot
Speech Emotion Recognition ⭐ 19
Predicting various emotion in human speech signal by detecting different speech components affected by human emotion.
Steppy Examples ⭐ 18
Examples and tutorials to the steppy library
Deeplearning ⭐ 17
deeplearning tour
Open Solution Avito Demand Prediction ⭐ 17
Open solution to the Avito Demand Prediction Challenge
Machinelearning ⭐ 17
Implementations of machine learning algorithm by Python 3
Book Ml ⭐ 17
書籍「今すぐ試したい！機械学習・深層学習（ディープラーニング）画像認識プログラミングレシピ」のソースコードを配布するレポジトリです。
Codingninjas_datascience_machinelearning ⭐ 16
The notebooks are written in a way that they are sufficient on their own to learn the basics of Python, Machine Learning and Data Science.
Dlime_experiments ⭐ 16
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
Deeprain ⭐ 15
short term precipitation prediction with a UNet
Machine Learning ⭐ 15
Contains some of the ML codes which I made while learning ML
Machine_learning_para_no_matematicos ⭐ 14
Este repositorio almacena un pequeño curso de introducción al Machine Learning sin necesidad de necesitar formación universitaria en matemáticas.
Launchpad ⭐ 14
Resources to get started in Quantum Computing!
Artml ⭐ 14
ARTML- Real time learning
Neptune Notebooks ⭐ 13
Notebooks extension for Neptune, lightweight data science collaboration hub
Machine_learning_in_python ⭐ 13
Demo of basic machine learning models in python with Jupter Notebook
Veridical Flow ⭐ 13
Making it easier to build stable, trustworthy data-science pipelines.
Machine Learning Masters ⭐ 12
This repository consists content, assignments, assignments solution and study material provided by ineoron ML masters course
Data Science ⭐ 12
Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.
Chkstong Yibbibi ⭐ 12
Created by Zac Steer. SEO contest for CS470: Information Storage and Retrieval. The goal is to produce a website that is ranked first for a Google search for the query: chkstong yibbibi.
Ml Reserve ⭐ 12
An Open-Source repository where students could showcase their skills by contributing their ML and DL projects!
Lewisnet 1 ⭐ 12
A deep convolutional neural network for classifying images of organic molecular structures.
Ai Playground ⭐ 11
Unsorted Playground for Machine Learning, Reinforcement Learning and other AI Experiments
1-100 of 829 projects

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