Top 23 Deep Learning Open-Source Projects
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TensorFlow Lite Python image classification demo
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Yep the same effect can be achieved with Google's Cloud Vision API for Android devices. You can also do it with any decent webcam using OpenCV so you don't even need a phone.
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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.
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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.
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Project mention: Building a powerful deep learning workstation | reddit.com/r/buildapcforme | 2021-11-29
We will do no gaming whatsoever. The jobs will focus on training deep-learning models, for which we will predominantly use pytorch, which runs on CUDA. We will *exclusively* handle image data, which may come in scales of MB per image ranging until TB per image, hence, fast file transfer speeds from mainboard/storage to GPU is very important. Some of the data may have to be copied from an external fileserver, and then be stored temporarily on the local drives for processing. Thus, we also need high file transfer through the LAN connection.
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A linear regression model
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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
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ML: 100-Days-Of-ML-Code
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Caffe de BAIR
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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.
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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 | 2021-09-08https://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.
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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
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Standing recommendation for beginners (we should eventually make a wiki) is https://madewithml.com/
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machine-learning-for-software-engineers
A complete daily plan for studying to become a machine learning engineer.
Project mention: Plano de estudos em machine learning com conteúdos em português. | dev.to | 2021-08-18 -
Extract Text from the images and converting them to txt file using Tesseract.js
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openpose
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation
Project mention: Help finding an appropriate model for human pose estimation | reddit.com/r/computervision | 2021-09-29Openpose: This is supposedly realtime (I assume on a gpu, 24fps?) and they provide training code
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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
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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.
data science ipython notebooks
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NLP libraries such as Stanford NER Detector and Spacy
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Project mention: D I Refuse To Use Pytorch Because Its A Facebook | reddit.com/r/MachineLearning | 2020-12-29
Also, not a single docstring to document any code in the library - https://github.com/fastai/fastai/blob/master/fastai/vision/learner.py
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DeepSpeech
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Tried Kõnele but no dice. DeepSpeech looks promising but will it install/run on AOSP?
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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 | 2021-11-08Distributed RL algorithms are provided using ray
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https://github.com/deezer/spleeter if you are good at computer
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Deep Learning related posts
- Oh hell nawww
- awesome-ai-in-finance: curated list of books/online courses/papers on AI and finance. Topics include crypto trading strategies/ta/backter etc. Other Models - star count:1212.0
- What program would I use if i wanted to train robot to move around say a rocky terrain?
- 3d Lip Sync Animation from Audio (Mobile) Browser Demo
- AI generated visualization of Meat Grinder lyrics
- Just another reason why this game should of been a paid multiplayer/campaign
- [P] Deep Learning in Production Book
Index
What are some of the best open-source Deep Learning projects? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | tensorflow | 160,825 |
| 2 | OpenCV | 58,271 |
| 3 | Keras | 53,272 |
| 4 | Pytorch | 52,401 |
| 5 | TensorFlow-Examples | 41,427 |
| 6 | faceswap | 39,700 |
| 7 | 100-Days-Of-ML-Code | 33,478 |
| 8 | Caffe | 32,112 |
| 9 | Real-Time-Voice-Cloning | 31,443 |
| 10 | Deep-Learning-Papers-Reading-Roadmap | 30,887 |
| 11 | DeepFaceLab | 29,985 |
| 12 | MadeWithML | 29,129 |
| 13 | machine-learning-for-software-engineers | 25,514 |
| 14 | Tesseract.js | 25,162 |
| 15 | openpose | 22,694 |
| 16 | pytorch-tutorial | 22,266 |
| 17 | data-science-ipython-notebooks | 21,875 |
| 18 | spaCy | 21,827 |
| 19 | fastai | 21,661 |
| 20 | DeepSpeech | 18,523 |
| 21 | Ray | 18,270 |
| 22 | spleeter | 17,999 |
| 23 | awesome-deep-learning | 17,996 |
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