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amazon-dsstne

Deep Scalable Sparse Tensor Network Engine (DSSTNE) is an Amazon developed library for building Deep Learning (DL) machine learning (ML) models

analysing_logs

Setting up data Infrastructure with some open source tools.

awesome-bigdata

A curated list of awesome big data frameworks, ressources and other awesomeness.

awesome-datascience

An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-nlp

:book: A curated list of resources dedicated to Natural Language Processing (NLP)

awesome-public-datasets

An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!

awesome-python

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

awesome-r

A curated list of awesome R packages, frameworks and software.

awesome-streaming

a curated list of awesome streaming frameworks, applications, etc

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

beyond-jupyter

All material from the PyCon.DE 2018 Talk "Beyond Jupyter Notebooks - Building your own data science platform with Python & Docker"

bulk_form

bulk_form_for_project

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cm_api

Cloudera Manager API Client

coding-interview-university

A complete computer science study plan to become a software engineer.

colorific

Automatic color palette detection

coursework

summer school coursework

cs231n.github.io

Public facing notes page

data-science-from-scratch

code for Data Science From Scratch book

data-science-ipython-notebooks

Continually updated Data Science Python Notebooks: Spark, Hadoop MapReduce, HDFS, AWS, Kaggle, scikit-learn, matplotlib, pandas, NumPy, SciPy, and various command lines.

data-science-primer

A set of self paced resources for anyone looking to get into data science. The materials assume an absolute beginner and are intended to prepare students for the Galvanize Data Science interview process: http://www.galvanize.com/courses/data-science/

datacamp_intermediate_r

The intermediate R course is the logical next stop on your journey in the R programming language. Learn about conditional statements, loops and functions to power your own R scripts. Next, you can make your R code more efficient and readable using the apply functions. Finally, the utilities chapter gets you up to speed with regular expressions in R.

datasciencepython

common data analysis and machine learning tasks using python

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

datascienceresources

Open Source Data Science Resources.

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

deeplearningzerotoall

TensorFlow Basic Tutorial Labs