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algorithm

Algorithms implemented in Python, CPP, etc.

algorithms

Minimal examples of data structures and algorithms in Python

atis

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-courses

List of awesome university courses for learning Computer Science!

awesome-datascience

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

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

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-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

awesome-spn

A structured list of resources about Sum-Product Networks (SPNs)

bert-for-sequence-labeling-and-text-classification

This is the template code to use BERT for sequence lableing and text classification, in order to facilitate BERT for more tasks. Currently, the template code has included conll-2003 named entity identification, Snips Slot Filling and Intent Prediction.

bpl

Bayesian Program Learning model for one-shot learning

caffe

Caffe: a fast open framework for deep learning.

coling18-data

courses

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

data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

datascienceresources

Open Source Data Science Resources.

deep-nlp

[In-Progress] Mini implementations of deep learning algorithms for natural language processing in PyTorch

deepmind-atari-deep-q-learner

The original code from the DeepMind article + my tweaks

deeppy

Deep learning in Python

document_cluster

A guide to document clustering in Python

edward

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

eeap-examples

Code for Document Similarity on Reuters dataset using Encode, Embed, Attend, Predict recipe

forestdb.org

a repository for generative models

free-data-science-books

Free resources for learning data science

is13

Code for RNN and Spoken Language Understanding

jagsexamples

Examples of statistical models implemented using JAGS

jointslu

learndatascience

Open Content for self-directed learning in data science