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compvec

Improving Word Embedding Compositionality using Lexicographic Definitions. Implementation using Python and Tensorflow. Was presented at WWW '18 in Lyon, France.

concrete_nlp_tutorial

An NLP workshop about concrete solutions to real problems

cookbook-2nd

IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018

coronavirus-knowledge-graph

Prototype Neo4j Knowledge Graph for Coronavirus outbreaks

course-materials

cove

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

covid-19-analysis

Analysis with Covid-19 data

cpsc340

UBC CPSC 340: Machine Learning and Data Mining (2016W2)

data

Data and code behind the articles and graphics at FiveThirtyEight

data-1

Open Data Sources

data-science--cheat-sheet

Cheat Sheets

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

data-science-tutorial

Code material for a data science tutorial

data-science-your-way

Ways of doing Data Science Engineering and Machine Learning in R and Python

data_science

Personal portfolio of data_science: machine learning, visualization, and more

data_science_for_all

Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone

datacollect

A collection of tools to collect and download various data.

datascienceguide.github.io

Website, notes and tutorial for

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-nlp-seminars

Materials for deep NLP course

deep-siamese-text-similarity

Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings

deep_learning-experiment

All of my Deep Learning experiments have been summarized in this repository.It includes Pytorch tutorials, SoTA Neural Network classification ,Time Series Analysis, Collaborative Filtering . Hope you find this interesting. Check out my blog where I've provided a detail walkthrough of this repository.

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deepnews

Generates headline given a text of data

deepspeech

A TensorFlow implementation of Baidu's DeepSpeech architecture

dfwmeetup_2014

DFW Pythoneers Meetup

dinoruntutorial

Accompanying code for Paperspace tutorial "Build an AI to play Dino Run"

distributed-and-cluster-computing

Course materials for CSC 496, Special Topic in Complex Systems, at West Chester University of Pennsylvania