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Curated list of automated machine learning papers, articles, tutorials, slides and projects.
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github.com
Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
github.com
Fast, flexible and fun neural networks. This is the successor of PyBrain.
github.com
Neural networks, regression and feature learning in Clojure.
github.com
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai.
cs231n.github.io
Course materials and notes for Stanford class CS231n: Deep Learning for Computer Vision.
github.com
Dataframes for machine-learning and statistics (similar to pandas).
dataiku.com
Platform democratizing access to data and enabling enterprises to build their own path to AI.
github.com
Decision Tree Classifier and Regressor.
github.com
Deeplearn-rs provides simple networks that use matrix multiplication, addition, and ReLU under the MIT license.
github.com
High-level wrapper built on the top of Pytorch which supports vision, text, tabular data and collaborative filtering.
github.com
A collection of functions for mathematical and statistical computing, macine learning, etc., wrapping several JVM libraries.
fullstackdeeplearning.com
News, community, and courses for people building AI-powered products.
github.com
Course content and resources for the AIAIART course.
data-literacy.geckoboard.com
Simple and friendly way of teaching your non-data scientist/non-statistician colleagues. From Geckoboard's Data Literacy Lessons.
imbalanced-learn.org
Python module to perform under sampling and oversampling with various techniques.
github.com
A Java port of SciPy's signal processing module, offering filters, transformations, and other scientific computing utilities.
learnclash.com
Learn any topic in 3 minutes a day. 1v1 quiz duels, ELO rankings, spaced repetition. Free on iOS and Android.
learnlyai.co.uk
AI-powered academic assistant for students with note-taking, essay writing, and presentation generation.
github.com
A pure Go implementation of the prediction part of GBRTs, including XGBoost and LightGBM.
making.lyst.com
A Python implementation of a number of popular recommendation algorithms for both implicit and explicit feedback.
Supports teaching, studying or skills practice with AI-guided learning tools.
meka.sourceforge.net
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
github.com
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.