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🔥Highlighting the top ML papers every week.
GeNNius: An ultrafast drug-target interaction inference method based on graph neural networks
Open Deep Learning and Reinforcement Learning lectures from top Universities like Stanford, MIT, UC Berkeley.
Multi-view clustering with flexible ensemble structures.
Public Repository for Stats 102B taught Spring quarter 2021
😎 Awesome lists about all kinds of interesting topics
Manopt, a Matlab toolbox for optimization on manifolds
Algorithms for prediction of drug-target interactions via computational (chemogenomic) methods
NeoDTI: Neural integration of neighbor information from a heterogeneous network for discovering new drug-target interactions
The code for vector transport free LBFGS quasi-Newton's optimization on the Riemannian manifolds
MixEst: A MATLAB toolbox for mixture-model parameter estimation
A curated list of awesome tools for R package development
This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
An extremely long review of R.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports comp…
🎓 Sharing machine learning course / lecture notes.
This is a tutorial to connect the fundamental mathematics to a practical implementation addressing the continual learning problem of artificial intelligence
A solver for mixed-integer convex optimization
Resources for "Introduction to Deep Learning" course.
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.