Python Deep Learning

Open-source Python projects categorized as Deep Learning | Edit details

Top 23 Python Deep Learning Projects

  • GitHub repo Keras

    Deep Learning for humans

    Project mention: 5 ways to keep your skills fresh after finishing a coding bootcamp | dev.to | 2021-11-28

    One way to improve your projects and coding skills is to try new models and libraries. For example, if you did classification with logistic regression, try also with random forest; if you used Tensorflow, now try Keras; if you scraped a website with BeautifulSoup, now do it with Scrapy. You get the point.

  • GitHub repo faceswap

    Deepfakes Software For All

    Project mention: Use the infamous Deep Fakes project for things other than faces | reddit.com/r/learnmachinelearning | 2021-10-25

    My current challenge is getting those masked wheel images to be able to swap between images, or to apply a new wheel on a car image. To get a decent result that doesn't look fake, it would have to do some minor warping and resizing. To me, this seems like exactly what the Deep Fakes repo does. https://github.com/deepfakes/faceswap

  • Nanos

    Run Linux Software Faster and Safer than Linux with Unikernels.

  • GitHub repo Real-Time-Voice-Cloning

    Clone a voice in 5 seconds to generate arbitrary speech in real-time

    Project mention: Getting started with a GitHub project, question about Python | reddit.com/r/learnprogramming | 2021-11-23

    Hi, I'm looking to try out a GitHub project (https://github.com/CorentinJ/Real-Time-Voice-Cloning) and already feeling in over my head.

  • GitHub repo Deep-Learning-Papers-Reading-Roadmap

    Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

    Project mention: [D] Resources for Understanding The Original Transformer Paper | reddit.com/r/MachineLearning | 2021-09-08

    https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap - This one is a bit dated so it doesn’t contain all of the papers that you need to read to get up to date but I think you should definitely read all of the papers in this list and implement as much as you can.

  • GitHub repo DeepFaceLab

    DeepFaceLab is the leading software for creating deepfakes.

    Project mention: Are there any open source ML libraries that have good (or any) test coverage? | news.ycombinator.com | 2021-11-25

    I have been looking to use lipsync for a project at work, and I have been horrified to see that the most used deepfake library [0] with over 30k stars has the word "test" mentioned in it a whopping 10 times. This naturally made me very hesitant to use this library as who (I guess no one, really) knows how unstable it may be.

    Are there any examples of projects in ML (other than libs like pytorch) that do have test suites, and perhaps even enforce TDD? Would be very curious to know.

    [0] DeepFaceLab https://github.com/iperov/DeepFaceLab

  • GitHub repo pytorch-tutorial

    PyTorch Tutorial for Deep Learning Researchers

    Project mention: How to 'practice' pytorch after finishing its basic tutorial? | reddit.com/r/learnmachinelearning | 2021-05-09

    I tried to move straight to practicing implementing papers and trying to understand other people's codes but failed miserably. I feel like there was too much of a gap between the basic tutorial and being able to implement ideas into code....hence the question: Is there any resource/way to practice pytorch in general? I did find this and this, but I just wanted to hear what others have gone through to become better at PyTorch up to the point they can build stuff from their own ideas

  • GitHub repo data-science-ipython-notebooks

    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.

    Project mention: Beginner in Python for Data Science | reddit.com/r/learnpython | 2020-12-27

    data science ipython notebooks

  • Scout APM

    Scout APM: A developer's best friend. Try free for 14-days. Scout APM uses tracing logic that ties bottlenecks to source code so you know the exact line of code causing performance issues and can get back to building a great product faster.

  • GitHub repo spaCy

    💫 Industrial-strength Natural Language Processing (NLP) in Python

    Project mention: Two Methods to Scan for PII in Data Warehouses | dev.to | 2021-11-29

    NLP libraries such as Stanford NER Detector and Spacy

  • GitHub repo Ray

    An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

    Project mention: JORLDY: OpenSource Reinforcement Learning Framework | reddit.com/r/reinforcementlearning | 2021-11-08

    Distributed RL algorithms are provided using ray

  • GitHub repo spleeter

    Deezer source separation library including pretrained models.

    Project mention: Cutting out drums from a sample | reddit.com/r/mpcusers | 2021-11-29

    https://github.com/deezer/spleeter if you are good at computer

  • GitHub repo 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
  • GitHub repo streamlit

    Streamlit — The fastest way to build data apps in Python

    Project mention: Suggestions for GUI framework for an app to browse tables of data, with buttons and dropdown menus in cells? And some related PySimpleGui questions | reddit.com/r/learnpython | 2021-11-07

    I've never used it, but someone suggested it in another thread, and it looked interesting to me, so I have it bookmarked to try-out: https://streamlit.io/

  • GitHub repo pytorch-CycleGAN-and-pix2pix

    Image-to-Image Translation in PyTorch

    Project mention: I made a 3d topographic map based on my recent civ6 game | reddit.com/r/civ | 2021-08-03

    pix2pix algorithm is used for translating Civ6Maps to heightmaps. Synthesized terrain was rendered in blender.

  • GitHub repo pytorch-lightning

    The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

    Project mention: [D] Colab TPU low performance | reddit.com/r/MachineLearning | 2021-11-18

    I wanted to make a quick performance comparison between the GPU (Tesla K80) and TPU (v2-8) available in Google Colab with PyTorch. To do so quickly, I used an MNIST example from pytorch-lightning that trains a simple CNN.

  • GitHub repo labelImg

    🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

    Project mention: Mac book | reddit.com/r/pcmasterrace | 2021-11-07

    machine learning like https://github.com/tzutalin/labelImg

  • GitHub repo EasyOCR

    Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

    Project mention: [Question] Best approach for Optical Character recognition on large (20MB+) photos? | reddit.com/r/opencv | 2021-11-10

    Try easyocr or Tesseract. Both are pretty easy to use and don't need much background in OpenCV.

  • GitHub repo jina

    Cloud-native neural search framework for 𝙖𝙣𝙮 kind of data

    Project mention: Open source tools to track github repository stats? | reddit.com/r/opensource | 2021-10-24

    I use this tool everyday to track growth for Jina (an open-source neural search framework)

  • GitHub repo facenet

    Face recognition using Tensorflow

    Project mention: CompreFace - Free and open-source self-hosted face recognition system from Exadel | reddit.com/r/selfhosted | 2021-05-07

    As for me, openface is already outdated - the latest release was in 2016. If you look for a library, the easiest to use is ageitgey/face_recognition. The more accurate libraries are davidsandberg/facenet and deepinsight/insightface.

  • GitHub repo imgaug

    Image augmentation for machine learning experiments.

    Project mention: [N] Facebook AI Open Sources AugLy: A New Python Library For Data Augmentation To Develop Robust Machine Learning Models | reddit.com/r/MachineLearning | 2021-06-19

    https://github.com/aleju/imgaug This one is way better for image.

  • GitHub repo horovod

    Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

    Project mention: [D] GPU buying recommendation | reddit.com/r/MachineLearning | 2021-07-17

    If you just want to run tensorflow or pytorch for a Jupyter notebook, setting the environment shouldn't be difficult. I know that AWS has a marketplace of preconfigured images. However, you can go as advanced as setting up a cluster of gpu-equipped nodes to setup Horovod (https://github.com/horovod/horovod) to do distributed machine learning. Yes, there's a learning curve, but you cannot acquire this skillet any other way.

  • GitHub repo tensor2tensor

    Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

    Project mention: [D] Resources for Understanding The Original Transformer Paper | reddit.com/r/MachineLearning | 2021-09-08

    Code for https://arxiv.org/abs/1706.03762 found: https://github.com/tensorflow/tensor2tensor

  • GitHub repo recommenders

    Best Practices on Recommendation Systems

    Project mention: Opinion on choice of model - Recommender System | reddit.com/r/datascience | 2021-04-10

    Then I tried to find some more advanced models and I found this really good list and in there I found the Microsoft one. So it's' where we are now, which a bunch of different models and not a documentation/tutorials out there.

  • GitHub repo d2l-en

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

    Project mention: I created a way to learn machine learning through Jupyter | reddit.com/r/learnmachinelearning | 2021-04-30

    There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020). The latest post mention was on 2021-11-29.

Python Deep Learning related posts

Index

What are some of the best open-source Deep Learning projects in Python? This list will help you:

Project Stars
1 Keras 53,329
2 faceswap 39,700
3 Real-Time-Voice-Cloning 31,443
4 Deep-Learning-Papers-Reading-Roadmap 30,887
5 DeepFaceLab 30,077
6 pytorch-tutorial 22,266
7 data-science-ipython-notebooks 21,875
8 spaCy 21,827
9 Ray 18,270
10 spleeter 17,999
11 PaddlePaddle 17,089
12 streamlit 16,661
13 pytorch-CycleGAN-and-pix2pix 16,336
14 pytorch-lightning 16,326
15 labelImg 15,940
16 EasyOCR 13,149
17 jina 12,306
18 facenet 12,149
19 imgaug 12,020
20 horovod 11,881
21 tensor2tensor 11,790
22 recommenders 11,705
23 d2l-en 11,569
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