- Vladikavkaz, Russia
Stars
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Public facing notes page
Home assignments for data science positions
LAMA - automatic model creation framework
Translations of TensorFlow documentation
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
Notebooks for learning deep learning
A curated list of data science blogs
📊 Path to a free self-taught education in Data Science!
The goal of CLAIMED is to enable low-code/no-code rapid prototyping style programming to seamlessly CI/CD into production.
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Algorithms written on Kotlin programming language
A portable microkernel-based multiserver operating system written from scratch.
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
DL course co-developed by YSDA, HSE and Skoltech
Deep Learning for Biology course materials / Higher School of Economics, 2018
The fundamental package for scientific computing with Python.
scikit-learn: machine learning in Python
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
Translation of VIP cheatsheets for Machine Learning Deep Learning, and Artificial Intelligence