AI
Artificial intelligence: machine learning, neural networks, large language models, deep learning, AI research, and AI tools.
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Official AI docs angular.dev
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aitools.fyi aitools.fyi
AI Tools Built With Angular.
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Manoela Ilic twitter.com
...aka Mary Lou @codrops ༶ CSS & HTML are my crayons ༶ Interested in Cognitive Science, AI, HCI, UI Design & Astrophysics ༶ Digital nomad.
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Web Performance Engineering in the Age of AI oreilly.com
Addy Osmani.
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vtl.nn github.com
Neural Networks module for VTL. Build and train deep learning models with layers, activations, and optimizers.
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vtl.autograd github.com
Automatic differentiation module for VTL. Enables gradient computation for machine learning and optimization.
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vsl.ml github.com
Machine Learning module for VSL with K-means, KNN, linear/logistic regression, SVM, decision trees, random forest, and more.
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vnm github.com
A minimalist, compiled neural network library written in the V programming language.
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fuzzyml sourceforge.net
Fuzzy machine learning framework.
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ada-ic-learning adaic.org
For additional learning resources, see the AdaIC learning section.
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Reinforcement Learning: An Introduction incompleteideas.net
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AI Challenge en.wikipedia.org
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openai-openapi-client codeberg.org
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SmartKid github.com
Powerful AI engine for 2D & 3D games.
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Comparing a Machine Learning Algorithm Implemented in F# and OCaml philtomson.github.io
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Reinforcement Learning with OCaml (PyTorch bindings) blog.janestreet.com
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Transfer Learning with OCaml (PyTorch bindings) blog.janestreet.com
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Deep Learning with OCaml (PyTorch bindings) blog.janestreet.com
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StatQuest with Josh Starmer youtube.com
The Statistics and Machine Learning in R playlist deals with principal component analysis, random forest, regression, ROC and AUC, and ridge, lasso and elastic-net.
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R Programming 101 youtube.com
This channel provides teaching videos on data analysis and statistical analysis using R programming. The teaching videos include subjects like data cleaning, data manipulation, data visualization, statistical analysis, and machine learning and AI (artificial intelligence).
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Dragonfly Statistics youtube.com
Topics include numerical computing, generating random walks, markov chains, encoding categorical variables, probability, correlation plots, feature engineering, time series, binary classifiers, models, data.table, confusion matrices, machine learning, geocoding, summary…
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Supervised Machine Learning for Text Analysis in R smltar.com
This book focuses on supervised or predictive modeling for text, using text data to make predictions about the world around us. Authors: Emil Hvitfeldt and Julia Silge.
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NLP for github.com
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NLP cran.r-project.org
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OpenCV github.com
zap: - Open source computer vision. [Apache2] website
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sofia-ml code.google.com
The suite of fast incremental algorithms for machine learning. [Apache2]
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AI github.com
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Synapses mrdimosthenis.github.io
A lightweight library for neural networks.
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Wave Terminal waveterm.dev
Wave is an open-source, AI-native terminal built for seamless developer workflows with inline rendering, a modern UI, and persistent sessions.
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Linguistics and natural language processing wiki.haskell.org
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MicroPython-NeuralNetwork gitlab.com
Neural Network for MicroPython.
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IoTy huskylib github.com
MicroPython driver for the DFRobot Husky Lens. An easy-to-use AI Camera / Vision Sensor, featuring face recognition, object tracking, object recognition, line tracking, color recognition, and QR code recognition.
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ZhuSuan zhusuan.readthedocs.io
Bayesian Deep Learning.
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streamlit streamlit.io
Make it easy to deploy the machine learning model
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SSPipe sspipe.github.io
Python pipe (|) operator with support for DataFrames and Numpy, and Pytorch.
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scikit-learn scikit-learn.org
Machine learning in Python.
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RLlib ray.readthedocs.io
Scalable Reinforcement Learning.
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Spotlight maciejkula.github.io
Deep recommender models using PyTorch.
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GPflow gpflow.readthedocs.io
Gaussian processes in TensorFlow.
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acoustics python-acoustics.github.io
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Accelerating Generative AI App Development with Flutter & Genkit speakerdeck.com
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