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lazynlp

Library to scrape and clean web pages to create massive datasets.

learning-notes

Notes on books I read, talks I watch, articles I study, and papers I love

learningjournal

My everyday learning Journal

lex-yacc

Compiler design algorithms, regex, grammar parsing and all.

lrec2018-live-blog-corpus

machine-learning-challenge-4

This repository contain starter codes for participants in Machine Learning Challenge 4.

mastering-python-design-patterns-second-edition

Mastering-Python-Design-Patterns-Second-Edition, published by Packt

mergesort

Merge Sort implementation in C++

mini-c-compiler-using-flex-and-yacc

A simple mini c compiler

ml-data-prep-zoo

ml-webinar

Machine Learning with sklearn tutorials (for Pearson)

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlflow

Open source platform for the machine learning lifecycle

mlflow-easyauth

Deploy MLflow with HTTP basic authentication using Docker

mlviz

Visualizations of machine learning algorithms

modernpython

Sample code for the video course: Modern Python: Big Ideas, Little Code

multicore-tsne

Parallel t-SNE implementation with Python and Torch wrappers.

multivariate-time-series-data

mxnet-the-straight-dope

An interactive book on deep learning. Much easy, so MXNet. Wow.

mynotebooks

Jupyte /Ipython notebooks

neuralcoref

✨Fast Coreference Resolution in spaCy with Neural Networks

neuraldater

ACL 2018: Dating Documents using Graph Convolution Networks

nlp-graph-notebooks

IPython companion notebooks for blog posts about Natural Language Processing on lyonwj.com

nlp-question-answer-system

nlqa

Natural Language Question Answering Engine

nn-from-scratch

Implementing a Neural Network from Scratch

operating-systems

Georgia Tech OMSCS - Operating Systems

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

pandas_exercises

Practice your pandas skills!

petl

Python Extract Transform and Load Tables of Data