xorb0ss's starred repositories
hyperlearn
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
state-of-the-art-result-for-machine-learning-problems
This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
awesome-interview-questions
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
aleph_star
Reinforcement learning with A* and a deep heuristic
deeplearning4nlp-tutorial
Hands-on tutorial on deep learning with a special focus on Natural Language Processing (NLP)
sandsifter
The x86 processor fuzzer
Exploring-Machine-Learning
Machine learning algorithms implementation in python with references, and with sketchy explanations.
ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
os-tutorial
How to create an OS from scratch
Machine-Learning-A-Probabilistic-Perspective-Solutions
My solutions to Kevin Murphy Machine Learning Book
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
deepbayes-2018
Seminars DeepBayes Summer School 2018