Top 23 Python Deep Learning Projects
Deep Learning for humansProject mention: [Project] I'm trying to implement StyleGAN2 in Keras to better understand its structure and just AAAAAAAA | reddit.com/r/learnmachinelearning | 2021-05-17
Deepfakes Software For AllProject mention: Emma Watson | reddit.com/r/KGBTR | 2021-05-17
https://github.com/deepfakes/faceswap bu uygulamadan yaparsın
Scout APM - Leading-edge performance monitoring starting at $39/month. 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.
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!Project mention: [D] How did you implement papers with models that required a lot of GPUs to train? | reddit.com/r/MachineLearning | 2021-05-27
I'm self-learning ML and trying to implement the papers listed here but I don't have access to hundreds of free GPUs like those corpos do.
DeepFaceLab is the leading software for creating deepfakes.Project mention: Germany's next Chancellor Angela Baerbock on her youth in the GDR | reddit.com/r/MediaSynthesis | 2021-05-31
It is made with DeepFaceLab 2.0 for the deepfake and Adobe Premiere Pro for video-cutting. https://github.com/iperov/DeepFaceLab
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: I decided to create a version of Fitter Happier, but with Thom's synthesized voice. | reddit.com/r/radiohead | 2021-05-29
I used this github repository and this interview (I chose that interview because the background noise is clean)
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
PyTorch Tutorial for Deep Learning ResearchersProject 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
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💫 Industrial-strength Natural Language Processing (NLP) in PythonProject mention: Resume Advice Thread - June 08, 2021 | reddit.com/r/cscareerquestions | 2021-06-08
Deezer source separation library including pretrained models.Project mention: DE AQUEL AMOOOOR DE MÚSICA LIGERAAA | reddit.com/r/dankgentina | 2021-06-14
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: Ray 1.4.0 | news.ycombinator.com | 2021-06-08
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
Image-to-Image Translation in PyTorchProject mention: This Wojak Does Not Exist | news.ycombinator.com | 2020-12-31
Streamlit — The fastest way to build data apps in PythonProject mention: Jupyter notebooks for dashboarding? | reddit.com/r/BusinessIntelligence | 2021-06-13
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in imagesProject mention: How are custom (bounding box) object datasets collected in research/practice? Thinking about making an iOS app to help if this is tedious. | reddit.com/r/computervision | 2021-05-23
there are loads of labeling tools out there e.g. https://github.com/tzutalin/labelImg
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.Project mention: [P] An introduction to PyKale https://github.com/pykale/pykale, a PyTorch library that provides a unified pipeline-based API for knowledge-aware multimodal learning and transfer learning on graphs, images, texts, and videos to accelerate interdisciplinary research. Welcome feedback/contribution! | reddit.com/r/MachineLearning | 2021-04-25
If you want a good example for reference, take a look at Pytorch Lightning's readme (https://github.com/PyTorchLightning/pytorch-lightning) It answers the 3 questions of "what is this", "why should I care", and "how do i use it" almost instantly
Face recognition using TensorflowProject 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.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.Project mention: Best OCR for keras CNN trained handwritten character model? | reddit.com/r/tensorflow | 2021-06-03
There are many possible approaches to OCR. You might want to take a look at the pipeline of EasyOCR at https://github.com/JaidedAI/EasyOCR.
Image augmentation for machine learning experiments.Project mention: [UPDATE!] Recognize trinkets with Isaac Item Recognizer! And also a few useful features in my newest update. | reddit.com/r/bindingofisaac | 2021-06-13
I have to improve my dataset with more backgrounds featuring obstacles. At the moment I'm working on creating a dataset with both items and trinkets, and I'm planning on using https://github.com/aleju/imgaug which will replace most of the stuff I'm doing with PIL.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.Project mention: SKLean, TensorFlow, etc vs Spark ML? | reddit.com/r/apachespark | 2021-02-12
I'm the maintainer for an open source project called Horovod that allows you to distribute deep learning training (e.g., TensorFlow) on platforms like Spark.
Best Practices on Recommendation SystemsProject 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.
An open-source NLP research library, built on PyTorch.Project mention: C4 dataset released (800GB Common Crawl-derived text; T5 training data) | reddit.com/r/mlscaling | 2021-03-16
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 175 universities.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.
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼Project mention: 【Image Transformation】Convert pictures to add styles from famous paintings | dev.to | 2021-06-13
What are some of the best open-source Deep Learning projects in Python? This list will help you: