ekosaputro09's Stars
pi-hosted/pi-hosted
Pi-Hosted is a collection of tutorials for hosting a variety of server applications using Docker and Portainer on the Raspberry Pi.
maikelpenz/dataflow-automation-infra
Repository to maintain infrastructure to automate Data Workflows
PrefectHQ/prefect
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
zamzambadruzaman/big-data-engineering-indonesia
A curated list of big data engineering tools, resources and communities.
andkret/Cookbook
The Data Engineering Cookbook
yangshun/tech-interview-handbook
💯 Curated coding interview preparation materials for busy software engineers
onlyphantom/sqlalchemy-tutorial
Ground Up tutorial to SQLAlchemy
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
wolfgarbe/SymSpell
SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm
nfmcclure/tensorflow_cookbook
Code for Tensorflow Machine Learning Cookbook
gothinkster/realworld
"The mother of all demo apps" — Exemplary fullstack Medium.com clone powered by React, Angular, Node, Django, and many more
harveyslash/Facial-Similarity-with-Siamese-Networks-in-Pytorch
Implementing Siamese networks with a contrastive loss for similarity learning
dhwajraj/deep-siamese-text-similarity
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
CrypTools/CaesarCipher
Caesar Cipher
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
davidgengenbach/openimages-fastxml-classification
Training a multi-label FastXML classifier on the OpenImages dataset
Refefer/fastxml
FastXML / PFastXML / PFastreXML - Implementation of Extreme Multi-label Classification
gumption/Python_for_Data_Science
A rapid on-ramp primer for programmers who want to learn Python for doing data science research and development.
jadianes/data-science-your-way
Ways of doing Data Science Engineering and Machine Learning in R and Python
EasyD/IntroToDataScience
GitHub Repository to accompany my YouTube series of videos on Introductory Data Science using R.
DrSkippy/Data-Science-45min-Intros
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
gboeing/ppde642
USC urban data science course series in Python
DataScienceSpecialization/DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
ujjwalkarn/DataSciencePython
common data analysis and machine learning tasks using python
nborwankar/LearnDataScience
Open Content for self-directed learning in data science
rushter/data-science-blogs
A curated list of data science blogs
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
donnemartin/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.
ossu/data-science
📊 Path to a free self-taught education in Data Science!