carsondahlberg

100-Days-Of-ML-Code

100 Days of ML Coding

annoy

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

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.

bert-as-service

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

context-eval

Tools for Evaluation of Unsupervised Word Sense Disambiguation Systems

deeptraffic

DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.

fastai

The fastai deep learning library, plus lessons and and tutorials

Kashgari

Simple and powerful NLP framework, build your own state-of-art model in 5 minutes.

carsondahlberg/pyFTPclient

FTP client written in python with monitoring and reconnection

carsondahlberg/awesome-cheatsheet

:beers: awesome cheatsheet

carsondahlberg/awesome-datascience

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

carsondahlberg/courses

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

carsondahlberg/data-algorithms-book

MapReduce, Spark, Java, and Scala for Data Algorithms Book

carsondahlberg/data-science-at-the-command-line

Data Science at the Command Line

carsondahlberg/data-science-blogs

A curated list of data science blogs

carsondahlberg/data-science-from-scratch

code for Data Science From Scratch book

carsondahlberg/data-wrangling

carsondahlberg/datacleaner

A Python tool that automatically cleans data sets and readies them for analysis.

carsondahlberg/DataScienceSpecialization.github.io

http://DataScienceSpecialization.github.io

carsondahlberg/DeepLearning-NLP

Introduction to Deep Learning for Natural Language Processing

carsondahlberg/dive-into-machine-learning

Dive into Machine Learning with Python Jupyter notebook and scikit-learn

carsondahlberg/go

The Open Source Data Science Masters

carsondahlberg/introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

carsondahlberg/LearnDataScience

Open Content for self-directed learning in data science

carsondahlberg/ML_for_Hackers

Code accompanying the book "Machine Learning for Hackers"

carsondahlberg/MLND

A Wiki containing helpful information for new and existing students of the Machine Learning Nanodegree at Udacity. Written by students of the Nanodegree.

carsondahlberg/newGitTest

python

carsondahlberg/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

carsondahlberg/PyBPL

Bayesian Program Learning toolkit in Python

carsondahlberg/pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

carsondahlberg/PythonDataScienceHandbook

Jupyter Notebooks for the Python Data Science Handbook

carsondahlberg/scipy_2015_sklearn_tutorial

Scikit-Learn tutorial material for Scipy 2015

carsondahlberg/Slope

E. Tufte slope graph implementation in Python

carsondahlberg/slots

A multi-armed bandit library for Python

carsondahlberg/ThinkBayes2

Text and code for the second edition of Think Bayes, by Allen Downey.

carsondahlberg/ThinkStats2

Text and supporting code for Think Stats, 2nd Edition