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Top 23 Python machine-learning-algorithm Projects
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nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Project mention: What can be the reasons of BatchNorm working and Dropout not working in YoloV1 Pytorch implementation? | /r/MLQuestions | 2023-06-08
I then found Aladdin Persson implementation (which he described in YouTube video). He said that original paper used Dropout, because BatchNorm was not invented at the time, and he wants to use BatchNorm instead. I thought there is no critical difference between these two, and decided to stick up with paper for the sake of learning to implement such things.
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Onboard AI
Learn any GitHub repo in 59 seconds. Onboard AI learns any GitHub repo in minutes and lets you chat with it to locate functionality, understand different parts, and generate new code. Use it for free at www.getonboard.dev.
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
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Project mention: modAL VS encord-active - a user suggested alternative | libhunt.com/r/modAL | 2023-04-12
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machine_learning_refined
Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).
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InfluxDB
Collect and Analyze Billions of Data Points in Real Time. Manage all types of time series data in a single, purpose-built database. Run at any scale in any environment in the cloud, on-premises, or at the edge.
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scikit-learn-intelex
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
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Project mention: Pointers to reduce false negatives while not sacrificing accuracy in deep learning | /r/datascience | 2023-06-24
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pretty-print-confusion-matrix
Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib
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Machine-Learning
Implementation of different ML Algorithms from scratch, written in Python 3.x (by Gautam-J)
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Continual learning enables the incremental training of machine learning models on non-stationary data streams.While academic interest in the topic is high, there is little indication of the use of state-of-the-art continual learning algorithms in practical machine learning deployment. This paper presents Renate, a continual learning library designed to build real-world updating pipelines for PyTorch models. We discuss requirements for the use of continual learning algorithms in practice, from which we derive design principles for Renate. We give a high-level description of the library components and interfaces. Finally, we showcase the strengths of the library by presenting experimental results. Renate may be found at https://github.com/awslabs/renate.
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zoofs
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
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Project mention: [P] Request to Test PyMilo: A New Python Library for Machine Learning I/O | /r/MachineLearning | 2023-09-29
GitHub Repo: https://github.com/openscilab/pymilo
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crispy
Crispy is a machine-learning algorithm to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames (by Flowtter)
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osdg-tool
OSDG is an open-source tool that maps and connects activities to the UN Sustainable Development Goals (SDGs) by identifying SDG-relevant content in any text. The tool is available online at www.osdg.ai. API access available for research purposes.
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I'm looking at migrating the docs for our open-source Python package https://github.com/xplainable/xplainable from sphinx to something else. I was initially looking at either docosaurus or Mintlify. Mintlify looks substantially easier to setup but I'm questioning the extensibility (also the cost).
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Fuel-Consumption-Estimator
Desktop application that estimates fuel consumption using a trained machine learning model.
Project mention: [P] Desktop app. makes fuel consumption estimation with machine learning. | /r/MachineLearning | 2022-12-24 -
python
🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts using Libraries and Logic. These things everyone should know in their journey with programming. (by CatalystsReachOut)
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Python machine-learning-algorithms related posts
- [P] Request to Test PyMilo: A New Python Library for Machine Learning I/O
- Pointers to reduce false negatives while not sacrificing accuracy in deep learning
- I want to learn more about AI and Machine Learning
- [P] Desktop app. makes fuel consumption estimation with machine learning.
- My desktop app that makes fuel consumption estimation with artificial intelligence. Open source github repo. Please give a star for support me.
- [P] An application that optimizes the fuel consumption of your vehicles with artificial intelligence. Open source. Please star for support.
- any decent ideas for a machine learning project using excel, r, SQL etc
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www.saashub.com | 29 Nov 2023
Index
What are some of the best open-source machine-learning-algorithm projects in Python? This list will help you:
Project | Stars | |
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1 | nni | 13,414 |
2 | Machine-Learning-Collection | 6,000 |
3 | igel | 3,071 |
4 | tslearn | 2,655 |
5 | modAL | 2,056 |
6 | machine_learning_refined | 1,454 |
7 | GIMP-ML | 1,319 |
8 | scikit-learn-intelex | 1,079 |
9 | wtte-rnn | 749 |
10 | pretty-print-confusion-matrix | 493 |
11 | pecos | 464 |
12 | Machine-Learning | 403 |
13 | Renate | 251 |
14 | zoofs | 227 |
15 | groupImg | 216 |
16 | pymilo | 86 |
17 | crispy | 61 |
18 | osdg-tool | 28 |
19 | ANAI | 26 |
20 | xplainable | 22 |
21 | algos | 21 |
22 | Fuel-Consumption-Estimator | 12 |
23 | python | 5 |