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academy

Ray tutorials from Anyscale

atom

:atom: The hackable text editor

berkeleyx-cs100.1x-big-data-with-apache-spark

This repository contains code files specifically IPython notebooks for the assignments in the course "Introduction to Big Data with Apache Spark" by UC Berkeley and Databricks on edX

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

cracking_the_coding_interview

Solution to CTCI problems in JAVA

cs234-reinforcement-learning-winter-2019

My Solutions of Assignments of CS234: Reinforcement Learning Winter 2019

cs344

Introduction to Parallel Programming class code

daily_coding_problem

Solutions to Daily Coding Problem

data-science-question-answer

A repo for data science related questions and answers

donut

WWW 2018: Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

ds-algo-implementation

field_propagation

Module for integrating a track's trajectory in a field, whether magnetic, electric, combined electromagnetic, or also including gravity or other forces.

github-dark

:octocat: Dark GitHub style

gsoc

ESIP Federation Google Summer of Code page.

hackerrank_solutions

Solutions to some HackerRank Problems in C++

icarus

Stellar binary light curve synthesis tool

java-cheat-sheet

Java Tutorial For Beginners - Companion Reference

leetcode

Solution to problems on LeetCode

llm-workshop-2024

A 4-hour coding workshop to understand how LLMs are implemented and used

llms-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

logparser

A toolkit for automated log parsing [ICSE'19, TDSC'18, DSN'16]

loveit

❤️A clean, elegant but advanced blog theme for Hugo 一个简洁、优雅且高效的 Hugo 主题

luminol

Anomaly Detection and Correlation library

machine-learning-book-pytorch

Code Repository for Machine Learning with PyTorch and Scikit-Learn

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

mit-deep-learning

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

ml-dl-courses

ml-study

ML Learning Sabbatical Study Materials

mlflow-workshop-part-1

Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three part series, we will cover MLflow Tracking, Projects, Models, and Model Registry.

mlreview_notebooks

Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."