Linking pages
- GitHub - bayandin/awesome-awesomeness: A curated list of awesome awesomeness https://github.com/bayandin/awesome-awesomeness 58 comments
- GitHub - dive-into-machine-learning/dive-into-machine-learning: Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.) https://github.com/hangtwenty/dive-into-machine-learning 39 comments
- GitHub - aymericdamien/TopDeepLearning: A list of popular github projects related to deep learning https://github.com/aymericdamien/TopDeepLearning 35 comments
- GitHub - jnv/lists: The definitive list of lists (of lists) curated on GitHub and elsewhere https://github.com/jnv/lists 24 comments
- GitHub - thegeekyb0y/learnpython: Python Resources for Everyone https://github.com/thegeekyb0y/learnpython 19 comments
- GitHub - arbox/data-science-with-ruby: Practical Data Science with Ruby based tools. https://github.com/arbox/data-science-with-ruby 0 comments
- Awesome Mobile Machine Learning. A growing list of awesome mobile (and… | by Austin Kodra | Heartbeat https://heartbeat.fritz.ai/awesome-mobile-machine-learning-6dfee1bbaafd 0 comments
- GitHub - febinsathar/goodreads: goodreads https://github.com/febinsathar/goodreads 0 comments
Linked pages
- How a Kalman filter works, in pictures | Bzarg https://www.bzarg.com/p/how-a-kalman-filter-works-in-pictures/ 503 comments
- TensorFlow http://tensorflow.org/ 440 comments
- GitHub - BurntSushi/xsv: A fast CSV command line toolkit written in Rust. https://github.com/BurntSushi/xsv 384 comments
- GitHub - gruns/icecream: 🍦 Never use print() to debug again. https://github.com/gruns/icecream 320 comments
- Creative Commons — CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ 305 comments
- A Neural Network Playground http://playground.tensorflow.org/#activation=tanh&batchSize=10&dataset=circle®Dataset=reg-plane&learningRate=0.03®ularizationRate=0&noise=0&networkShape=4,2&seed=0.44309&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false 236 comments
- Dive into Deep Learning — Dive into Deep Learning 1.0.3 documentation https://d2l.ai/ 223 comments
- The Xonsh Shell — Python-powered shell https://xon.sh/ 212 comments
- datetime â Basic date and time types — Python 3.12.0 documentation https://docs.python.org/3/library/datetime.html#strftime-and-strptime-behavior 203 comments
- Named Colors Wheel https://arantius.github.io/web-color-wheel/ 170 comments
- Statistical rule of three https://www.johndcook.com/blog/2010/03/30/statistical-rule-of-three/ 162 comments
- GitHub - minimaxir/textgenrnn: Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. https://github.com/minimaxir/textgenrnn 154 comments
- GitHub - milvus-io/milvus: Vector database for scalable similarity search and AI applications. https://github.com/milvus-io/milvus 145 comments
- GitHub - public-apis/public-apis: A collective list of free APIs https://github.com/public-apis/public-apis 128 comments
- GitHub - rmcelreath/stat_rethinking_2022: Statistical Rethinking course winter 2022 https://github.com/rmcelreath/stat_rethinking_2022 124 comments
- Modes, Medians and Means: A Unifying Perspective · John Myles White http://www.johnmyleswhite.com/notebook/2013/03/22/modes-medians-and-means-an-unifying-perspective/ 123 comments
- GitHub - eBay/tsv-utils: eBay's TSV Utilities: Command line tools for large, tabular data files. Filtering, statistics, sampling, joins and more. https://github.com/eBay/tsv-utils 117 comments
- GitHub - kestra-io/kestra: Infinitely scalable, event-driven, language-agnostic orchestration and scheduling platform to manage millions of workflows declaratively in code. https://github.com/kestra-io/kestra 108 comments
- Achievement of Sustained Net Plasma Heating in a Fusion Experiment with the Optometrist Algorithm | Scientific Reports https://www.nature.com/articles/s41598-017-06645-7 101 comments
- GitHub - facebookresearch/faiss: A library for efficient similarity search and clustering of dense vectors. https://github.com/facebookresearch/faiss 100 comments
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