Top 15 Python machine-learning-algorithm Projects
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.Project mention: Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI | dev.to | 2021-10-04
For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)Project mention: Pytorch: Custom Dataset for Machine Translation | reddit.com/r/learnpython | 2022-04-08
Less time debugging, more time building. Scout APM allows you to find and fix performance issues with no hassle. Now with error monitoring and external services monitoring, Scout is a developer's best friend when it comes to application development.
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labelsProject mention: Is the hardest part of writing code for machine learning data collection? | reddit.com/r/learnmachinelearning | 2022-05-12
And to extend u/mgmillem's answer on automation a little more, there is a rising number of tools out there to help automate/speed up/simplify this process. One of them is cleanlab which automatically finds and fixes label errors in any ML classification dataset. We've open-sourced it here: https://github.com/cleanlab/cleanlab, it's free to use, so give it a go! hope this helps!
a delightful machine learning tool that allows you to train, test, and use models without writing codeProject mention: Train/fit, test, and use models without writing code | reddit.com/r/ArtificialInteligence | 2021-06-29
Link to the repo: https://github.com/nidhaloff/igel
A machine learning toolkit dedicated to time-series dataProject mention: tslearn: NEW Data - star count:2070.0 | reddit.com/r/algoprojects | 2022-04-16
A modular active learning framework for Python
AI for GNU Image Manipulation ProgramProject mention: gEt yOuR CrEAtivE jUiceS FLoWinG | reddit.com/r/linuxmasterrace | 2022-04-06
Just like Photoshop, GIMP is only capable of fast and complex editing with the help of brushes(here are some good ones), scripts and sometimes plugins(also this one is recommended, available on most distro's repos as both standalone or as a plugin).
Static code analysis for 29 languages.. Your projects are multi-language. So is SonarQube analysis. Find Bugs, Vulnerabilities, Security Hotspots, and Code Smells so you can release quality code every time. Get started analyzing your projects today for free.
WTTE-RNN a framework for churn and time to event predictionProject mention: [R] apd-crs: Cure Rate Survival Analysis in Python | reddit.com/r/MachineLearning | 2022-01-31
The typical reason you would go with a weibull function is if you want to be able to relax proportional hazard like in this work: https://github.com/ragulpr/wtte-rnn
Algorithms And DataStructure Implemented In Python & CPP, Give a Star 🌟If it helps you
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn applicationProject mention: Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book | news.ycombinator.com | 2022-02-25
Implementation of different ML Algorithms from scratch, written in Python 3.x (by Gautam-J)
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlibProject mention: Trying to understand an Index Error Message | reddit.com/r/learnpython | 2022-02-18
I am attempting to use the pretty-print confusion-matrix library to create a confusion matrix.
PECOS - Prediction for Enormous and Correlated SpacesProject mention: Multi label classification on sparse labels | reddit.com/r/learnmachinelearning | 2021-09-09
A script in python to organize your images by similarity.Project mention: Introduction to K-Means Clustering | news.ycombinator.com | 2022-03-14
If anyone is interested, I have two projects that uses k-means
Being one of the first ML algorithms that I learned, I spend some time finding use cases for it
If I'm not mistaken I've also used in to classify deforestation in an exercise
A machine learning algorithm to recreate your images.Project mention: I have coded a machine learning algorithm and trained it to recreate the Reddit Snoo | reddit.com/r/Logos | 2022-01-15
Python machine-learning-algorithms related posts
Introduction to K-Means Clustering
5 projects | news.ycombinator.com | 14 Mar 2022
Machine Learning with PyTorch and Scikit-Learn – The *New* Python ML Book
3 projects | news.ycombinator.com | 25 Feb 2022
[R] apd-crs: Cure Rate Survival Analysis in Python
2 projects | reddit.com/r/MachineLearning | 31 Jan 2022
Improving xgb prediction times on a single core
3 projects | reddit.com/r/datascience | 14 Dec 2021
Intel Extension for Scikit-Learn
4 projects | news.ycombinator.com | 1 Nov 2021
Multi label classification on sparse labels
1 project | reddit.com/r/learnmachinelearning | 9 Sep 2021
Train/fit, test, and use models without writing code
1 project | reddit.com/r/ArtificialInteligence | 29 Jun 2021
What are some of the best open-source machine-learning-algorithm projects in Python? This list will help you:
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