Top 23 Python neural-network Projects
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SpaCy is one of the most popular NLP libraries, and is very fast and flexible.
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PaddlePaddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Project mention: I have issue with only __habs for half datatype? Please help! | reddit.com/r/CUDA | 2021-06-15 -
Scout APM
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.
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For the topic modelling itself, I am going to use Gensim library by Radim Rehurek, which is very developer friendly and easy to use.
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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.
Project mention: Automated Machine Learning (AutoML) - 9 Different Ways with Microsoft AI | dev.to | 2021-10-04For a complete tutorial, navigate to this Jupyter Notebook: https://github.com/microsoft/nni/blob/master/examples/notebooks/tabular_data_classification_in_AML.ipynb
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Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBI’s, and walk’s are all taken into account and passed through layers. There’s no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called TFlearn, documentation available from http://tflearn.org. The program will output the home and away teams as well as their respective score predictions.
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Project mention: Tegin huvitava avastuse. Google translate tõlkides automaatselt määrab meie ilma soota asesõnad inglise keeles sooliseks olenevalt sellest, mis ametinimetust lauses kasutad. | reddit.com/r/Eesti | 2021-02-05
Treenimiseks antakse masinale (https://github.com/google/seq2seq) väga palju tõlkepaare sisse, kui need tõlkepaarid ongi tänapäevasest stereotüüpsest maailmast siis väga midagi sinna parata ei saa. Keegi teadlikult vähemalt seda masinat stereotüüpseks ei teinud.
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OPS
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
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Project mention: How to remove duplicate images from your dataset (Also CIFAR-100 has issues) | reddit.com/r/computervision | 2021-02-01
I had used phash to find the duplicate images. The hashing algorithm is ingenious...And it was able to find duplicates (and thus remove) efficiently imagededub has perceptual hashing.
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ignite
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently. (by pytorch)
Along with the PyTorch-Ignite 0.4.5 release, we are excited to announce the new release of the web application for generating PyTorch-Ignite's training pipelines. This blog post is an overview of the key features and updates of the Code Generator v0.2.0 project release.
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Project mention: Reducing dimensionality in Bag of Words. Is grouping words using Word2Vec a known practice? | reddit.com/r/LanguageTechnology | 2021-09-07
bertviz
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image-super-resolution
🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Project mention: [P] Tutorial on using image super-resolution without Photoshop | reddit.com/r/learnmachinelearning | 2021-12-11 -
Project mention: [D] How do I make a model which takes a bedroom image as input give an output of different design of bedroom related to input image? | reddit.com/r/MachineLearning | 2021-03-27
source link: https://github.com/podgorskiy/ALAE
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igel
a delightful machine learning tool that allows you to train, test, and use models without writing code
Project mention: Train/fit, test, and use models without writing code | reddit.com/r/ArtificialInteligence | 2021-06-29Link to the repo: https://github.com/nidhaloff/igel
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Project mention: Time series analysis of Bitcoin price in Python with fbprophet ?! | dev.to | 2021-12-22
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mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Project mention: I'm Looking to Help Contribute, I am very confident with my skills | reddit.com/r/Python | 2021-12-02Automated Machine Learning (AutoML) Python package https://github.com/mljar/mljar-supervised You can check list of open issues. Or I can recommend some just tell me your preferences (Im the main contributor)
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Project mention: MuZero unable to solve non-slippery FrozenLake environment? | reddit.com/r/reinforcementlearning | 2021-08-09
I have used this implementation from MuZero: https://github.com/werner-duvaud/muzero-general
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image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
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Project mention: [P] PyCM 3.3 released: Comparison of Classifiers Based on Confusion Matrix | reddit.com/r/MachineLearning | 2021-10-27
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pytorch-pretrained-BigGAN
🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
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Project mention: Physics-Informed ML Simulator for Wildfire Propagation (Video) | reddit.com/r/Julia | 2021-02-15
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Python neural-network related posts
- 5% of 666 Python repos had comma typo bugs (inc V8, TensorFlow and PyTorch)
- Neural Network from Scratch
- [P] Tutorial on using image super-resolution without Photoshop
- [P] Tutorial on using image super-resolution without Photoshop
- [P] Tutorial on using image super-resolution without Photoshop
- [P] Tutorial on how to use image super-resolution without photoshop
- [P] Ivis: Dimensionality Reduction In Very Large Datasets Using Siamese Networks
Index
What are some of the best open-source neural-network projects in Python? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | spaCy | 22,251 |
| 2 | PaddlePaddle | 17,494 |
| 3 | gensim | 12,834 |
| 4 | nni | 10,884 |
| 5 | TFLearn | 9,576 |
| 6 | Kornia | 5,747 |
| 7 | seq2seq | 5,455 |
| 8 | imagededup | 3,937 |
| 9 | ignite | 3,828 |
| 10 | bertviz | 3,518 |
| 11 | image-super-resolution | 3,368 |
| 12 | ALAE | 3,201 |
| 13 | igel | 2,963 |
| 14 | PyTorch-NLP | 2,007 |
| 15 | neural_prophet | 2,006 |
| 16 | mljar-supervised | 1,747 |
| 17 | muzero-general | 1,631 |
| 18 | image-quality-assessment | 1,499 |
| 19 | addons | 1,437 |
| 20 | pycm | 1,200 |
| 21 | pytorch-pretrained-BigGAN | 902 |
| 22 | deepxde | 825 |
| 23 | Neupy | 701 |
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