Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

🐍 Python bidding for the Hora Approximate Nearest Neighbor Search Algorithm library

Apply and save color schemes in MATLAB with ease.

📚 Effortless documentation, done right.

High-Performance Symbolic Regression in Python and Julia

https://huyenchip.com/ml-interviews-book/

Answers to 120 commonly asked data science interview questions.

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

A unified framework for machine learning with time series

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

The fastest way to compute matrix profiles on CPU and GPU!

dplyr: A grammar of data manipulation

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

Over 250 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTer…

Lightweight and easy to use library for PCD8544 lcd controller, tested on ATmega328P and Nokia 5110 LCD

A collection of useful .gitignore templates

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile

Datasets, Transforms and Models specific to Computer Vision

A collection of links related to Linux kernel security and exploitation

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Shōgun

A collection of resources for concept drift data and software

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A community driven list of useful Scala libraries, frameworks and software.

AutoML library for deep learning

A cheatsheet of modern C++ language and library features.