Hacker News
- TensorFlow – A curated list of dedicated resources https://github.com/jtoy/awesome-tensorflow/ 4 comments
Linking pages
- GitHub - sindresorhus/awesome: 😎 Awesome lists about all kinds of interesting topics https://github.com/sindresorhus/awesome 69 comments
- GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software. https://github.com/josephmisiti/awesome-machine-learning 58 comments
- GitHub - jnv/lists: The definitive list of lists (of lists) curated on GitHub and elsewhere https://github.com/jnv/lists 28 comments
- GitHub - astorfi/TensorFlow-World-Resources: Organized & Useful Resources about Deep Learning with TensorFlow https://github.com/astorfi/TensorFlow-Roadmap 20 comments
- GitHub - astorfi/TensorFlow-World-Resources: Organized & Useful Resources about Deep Learning with TensorFlow https://github.com/astorfi/TensorFlow-World-Resources 11 comments
- Recurrent Neural Network Tutorial for Artists | 大トロ http://blog.otoro.net/2017/01/01/recurrent-neural-network-artist/ 8 comments
- GitHub - arbox/nlp-with-ruby: Curated List: Practical Natural Language Processing done in Ruby https://github.com/arbox/nlp-with-ruby 8 comments
- GitHub - guillaume-chevalier/LSTM-Human-Activity-Recognition: Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition 8 comments
- GitHub - alexmorley/every-data-scientist-should-know: A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio https://github.com/alexmorley/every-data-scientist-should-know 4 comments
- 100+ Best GitHub Repositories For Machine Learning https://www.theinsaneapp.com/2021/09/best-github-repository-for-machine-learning.html 3 comments
- GitHub - visenger/awesome-mlops: A curated list of references for MLOps https://github.com/visenger/awesome-mlops 2 comments
- Amazing Python Libraries 🛠 For Data Science, In 2023.💥 | by ThemeSelection | Frontend Weekly | Medium https://medium.com/front-end-weekly/amazing-python-libraries-for-data-science-in-2021-94cb98535ddd 1 comment
- GitHub - cuuupid/awesome-lists: A curated list of curated lists. https://github.com/cuuupid/awesome-lists 1 comment
- Alex Gulakov Blog — 200 Must-Reads on Machine Learning in 2023 | by Alex Gulakov | Jan, 2023 | Medium https://medium.com/@alexgulakov/200-links-for-must-reads-on-machine-learning-in-2023-def28906aa65 1 comment
- 9 Reasons to learn how to code - We ❤ Swift https://www.weheartswift.com/9-reasons-learn-code/ 0 comments
- Kittens vs Tarsiers - an introduction to serverless machine learning http://jmkhael.io/kittens-vs-tarsiers-an-introduction-to-serverless-machine-learning/ 0 comments
- GitHub - instillai/TensorFlow-Roadmap: Organized & Useful Resources about Deep Learning with TensorFlow https://github.com/machinelearningmindset/TensorFlow-Roadmap 0 comments
- GitHub - ujjwalkarn/Machine-Learning-Tutorials: machine learning and deep learning tutorials, articles and other resources https://github.com/ujjwalkarn/Machine-Learning-Tutorials 0 comments
- 101+ Resources to Learn Data Science - code(love) http://code-love.com/2017/05/27/learn-data-science/ 0 comments
- LSTMs for Human Activity Recognition - Guillaume Chevalier's Blog https://guillaume-chevalier.com/lstms-for-human-activity-recognition/ 0 comments
Linked pages
- TensorFlow http://tensorflow.org/ 440 comments
- https://deepmind.com/blog/wavenet-generative-model-raw-audio/ 288 comments
- Joel Grus – Fizz Buzz in Tensorflow https://joelgrus.com/2016/05/23/fizz-buzz-in-tensorflow/ 269 comments
- GitHub - pavelgonchar/colornet: Neural Network to colorize grayscale images https://github.com/pavelgonchar/colornet 175 comments
- GitHub - CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers: aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;) https://github.com/CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers 89 comments
- GitHub - aymericdamien/TensorFlow-Examples: TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2) https://github.com/aymericdamien/TensorFlow-Examples 50 comments
- GitHub - vahidk/EffectiveTensorflow: TensorFlow tutorials and best practices. https://github.com/vahidk/EffectiveTensorflow 49 comments
- Keras: the Python deep learning API https://keras.io 46 comments
- Announcing SyntaxNet: The World’s Most Accurate Parser Goes Open Source – Google AI Blog http://googleresearch.blogspot.com/2016/05/announcing-syntaxnet-worlds-most.html 44 comments
- GitHub - astorfi/lip-reading-deeplearning: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures https://github.com/astorfi/lip-reading-deeplearning 39 comments
- https://web.stanford.edu/class/cs20si/syllabus.html 39 comments
- GitHub - vinta/awesome-python: A curated list of awesome Python frameworks, libraries, software and resources https://github.com/vinta/awesome-python 38 comments
- http://download.tensorflow.org/paper/whitepaper2015.pdf 36 comments
- Google Developers Blog: How Machine Learning with TensorFlow Enabled Mobile Proof-Of-Purchase at Coca-Cola https://developers.googleblog.com/2017/09/how-machine-learning-with-tensorflow.html 31 comments
- GitHub - ibab/tensorflow-wavenet: A TensorFlow implementation of DeepMind's WaveNet paper https://github.com/ibab/tensorflow-wavenet 30 comments
- GitHub - transcranial/keras-js: Run Keras models in the browser, with GPU support using WebGL https://github.com/transcranial/keras-js 25 comments
- GitHub - pkmital/tensorflow_tutorials: From the basics to slightly more interesting applications of Tensorflow https://github.com/pkmital/tensorflow_tutorials 24 comments
- GitHub - trailbehind/DeepOSM: Train a deep learning net with OpenStreetMap features and satellite imagery. https://github.com/trailbehind/DeepOSM 18 comments
- GitHub - astorfi/TensorFlow-World: Simple and ready-to-use tutorials for TensorFlow https://github.com/astorfi/TensorFlow-World#5 16 comments
- GitHub - tflearn/tflearn: Deep learning library featuring a higher-level API for TensorFlow. https://github.com/tflearn/tflearn 14 comments
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