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100-days-of-ml-code

100 Days of ML Coding

100days

100 days of algorithms

annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

anomaly-detection-resources

Anomaly detection related books, papers, videos and toolboxes

art_of_data_visualization

The art of effective visualization of multi-dimensional data

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

awesome-cheatsheet

:beers: awesome cheatsheet

awesome-datascience

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

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

https://github.com/awesomedata/awesome-public-datasets/blob/master/README.rst

awesome-readme

A curated list of awesome READMEs

awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

awesome-tensorflow

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

awesome-ts-anomaly-detection

List of tools & datasets for anomaly detection on time-series data.

awesome_time_series_in_python

This curated list contains python packages for time series analysis

azure-tdsp-utilities

Utilities and scripts developed as part of Microsoft's Team Data Science Process for productive data science

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bert-as-service

Mapping a variable-length sentence to a fixed-length vector using BERT model

biopandas

Working with molecular structures in pandas DataFrames

bokeh-python-visualization

Learning and Sharing Bokeh Visualizations

brew

brew: Python Ensemble Learning API

brohrer.github.io

Public web page for brohrer

chartify

Python library that makes it easy for data scientists to create charts.

colab-tf-utils

Automatically backup keras/tensorflow models from Google's Colab service to your GoogleDrive based on a keras callback!

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

context-eval

Tools for Evaluation of Unsupervised Word Sense Disambiguation Systems

cookbook-2nd-code

Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]

course-content-dl

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1