Top 23 Python Deep Learning Projects
Deepfakes Software For AllProject mention: Is it just me, or is faceswap installation trolling me? | reddit.com/r/faceswap | 2021-08-18
It keeps getting stuck at either"fatal: unable to access 'https://github.com/deepfakes/faceswap.git/':" or "Please run this script with Python version 3.7 or 3.8 64bit and try again."
Optimize your datasets for ML. Goodbye, boilerplate code - the fastest dataset optimization and management tool for computer vision.
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.
Clone a voice in 5 seconds to generate arbitrary speech in real-timeProject mention: Is there a free (preferably open source) offline invoice creation software for windows 10? | reddit.com/r/software | 2021-09-27
DeepFaceLab is the leading software for creating deepfakes.Project mention: Yararlı olabilecek Github Python repoları | reddit.com/r/AtaturkKutuphanesi | 2021-10-13
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
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: 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.
💫 Industrial-strength Natural Language Processing (NLP) in PythonProject mention: I put together a tutorial and overview on how to use DeepSpeech to do Speech Recognition in Python | reddit.com/r/Python | 2021-10-14
It definitely could - with the real-time speech recognition example shown in the tutorial. But you'd likely need some sort of NLU running after the transcription is performed - to basically parse what was spoken into a command that you can use to run some business logic. There are some good open source libs for this too like https://spacy.io/
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: How to deploy a rllib-trained model? | reddit.com/r/reinforcementlearning | 2021-10-16
Deezer source separation library including pretrained models.Project mention: does a sub exist where helpful people are up for removing background sound from audio? | reddit.com/r/findareddit | 2021-10-04
Try spleeter out: https://github.com/deezer/spleeter
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
Streamlit — The fastest way to build data apps in PythonProject mention: Sharing results with other people | reddit.com/r/JupyterNotebooks | 2021-10-11
This might be a good place to use something like streamlit (https://streamlit.io/). Turn you notebook into a script, have them upload the file (or have them enter a network path). Run your code over the file, and return the file. Streamlit can run on your local machine, or on some other local machine, or streamlit can host it
Image-to-Image Translation in PyTorchProject 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.
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
🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in imagesProject mention: How do you create your own dataset for object detection? | reddit.com/r/computervision | 2021-10-08
LabelImg is also a nice little GUI for annotation.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.Project mention: How would one go about recognizing a text (date) in an image? | reddit.com/r/MLQuestions | 2021-09-07
Try running https://github.com/JaidedAI/EasyOCR, which reads all the text from a given image. Then loop over the words read and see if it reads your date properly or if it splits it into multiple words. Even if it does this, you can easily find the year (you might need to do some postprocessing on what the ocr reads, i.e transform l to 1). The nice thing is that you get the bounding boxes of where the tect was read so you can use some sort of postprocessing on bbox locations and words read to find the month amd day (i.e. I read 25 at the same y index as the yesr but the x index is to the left, so its probably the day). Good luck :)
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.
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.
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.
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
Cloud-native neural search framework for 𝙖𝙣𝙮 kind of dataProject mention: DAE think it's really cool that we have open-source software tools to build our own search engines? | reddit.com/r/DoesAnybodyElse | 2021-10-11
if you'd like to skip the tutorial and dive head-on: https://github.com/jina-ai/jina
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.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 200 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.
What are some of the best open-source Deep Learning projects in Python? This list will help you:
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