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Curated list of resources for college students :octocat: Show your :heart: by giving a :star:
Anomaly detection related books, papers, videos, and toolboxes
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
Open source audio annotation tool for humans
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
:memo: An awesome Data Science repository to learn and apply for real world problems.
A topic-centric list of HQ open datasets.
speech enhancement\speech seperation\sound source localization
A curated list of resources dedicated to text summarization
Torch notebooks and slides for the Bay Area Deep Learning Summer School
Slides and exercises for the Theano tutorial at the Deep Learning School in Stanford, September 24-25, 2016
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Samples for Google Cloud Machine Learning Engine
Matlab GPU Accelerated Deep Learning Toolbox
Automatically exported from code.google.com/p/cuda-convnet2
Automatically exported from code.google.com/p/cuda-convnet2
Data Science Using Python
A curated list of data science blogs
Data science interview questions and answers
Alex Castrounis' curated set of resources for artificial intelligence (AI), machine learning, data science, internet of things (IoT), and more.
Source code for "Understanding Deep Image Representations by Inverting Them", CVPR 2015
Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
DeepMetabolism is a deep learning algorithm to predict phenotype from genome sequencing
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.