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awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-hadoop

A curated list of amazingly awesome Hadoop and Hadoop ecosystem resources

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

big-data-engineering-coursera-yandex

Big Data for Data Engineers Coursera Specialization from Yandex

bigdata-dataengineers

brats17

Brain tumor segmentation for MICCAI 2017 BraTS challenge

coursera-bigdata-distributedsystems-specializations

A cache to store my Distributed System and Big Data related resources

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

dataengineering_snowflake

dataengineeringcourse

datasciencesalaries_eda

deepschool.io

Deep Learning tutorials in jupyter notebooks.

ebookml_src

Source code in ebook Machine Learning

introduction_to_julia_tutorials

These are the jupyter notebooks used for intro tutorials to teach Julia

ipython-notebooks

A collection of IPython notebooks covering various topics.

machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

nbdev_quarto

nsgaiii

An implementation of NSGA-III in Python.

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

paper-tips-and-tricks

Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.

polars-analysis

A pipeline to pull data from S3 and process using Polars, Delta-RS and DuckDB

polarspipeline

Log ETL Pipeline with Polars, Delta-RS and more

pysmt

pySMT: A library for SMT formulae manipulation and solving

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

robust-porfolio-optimization-phase-2

rsome

Robust Stochastic Optimization Made Easy

shopeechallenge

My approach to Shopee Kaggle Challenge

spark-playground

Batch Pipeline to pull data from S3 to Clickhouse as OALP database and use Starrocks for ad-hoc interactive query engine

streaminganalytics

A streaming ETL pipeline with Postgresql, Debezium, RisingWave, Clickhouse

subsetselection.jl

Fast Subset Selection algorithm for Statistics/Machine Learning