Pinned Repositories
awesome-datascience
:memo: 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.
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
deeppy
Deep learning in Python
free-data-science-books
Free resources for learning data science
gensim
Topic Modelling for Humans
gym
matplotlib
matplotlib: plotting with Python
epgauss's Repositories
epgauss/gensim
Topic Modelling for Humans
epgauss/gym
epgauss/pyLDAvis
Python library for interactive topic model visualization. Port of the R LDAvis package.
epgauss/python-machine-learning-book
The "Python Machine Learning" book code repository and info resource
epgauss/python-patterns
A collection of design patterns/idioms in Python
epgauss/RNN-Tutorial
Recurrent Neural Networks - A Short TensorFlow Tutorial
epgauss/alexa-cookbook
A series of sample code projects to be used for educational purposes during Alexa hackathons and workshops, and as a reference for tutorials and blog posts.
epgauss/awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
epgauss/caffe
Caffe: a fast open framework for deep learning.
epgauss/DataScienceResources
Open Source Data Science Resources.
epgauss/easy_seq2seq
[unmaintained] go to https://github.com/suriyadeepan/practical_seq2seq
epgauss/epgauss.github.io
my blog
epgauss/jekyll-now
Build a Jekyll blog in minutes, without touching the command line.
epgauss/malex
dev-mod
epgauss/MAVE
The dataset contains 3 million attribute-value annotations across 1257 unique categories on 2.2 million cleaned Amazon product profiles. It is a large, multi-sourced, diverse dataset for product attribute extraction study.
epgauss/Mind-Expanding-Books
:books: Books that will blow your mind
epgauss/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
epgauss/ontology
Collection of "official" ontologies of universAAL, which play the role of data model
epgauss/practical_seq2seq
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
epgauss/python-ml-notebooks
Experiments with different ML techniques using TensorFlow and Sci-kit-learn in Python
epgauss/runWord2vec
Wrapper of Gensim word2vec along with T-SNE visualization
epgauss/scikit-learn
scikit-learn: machine learning in Python
epgauss/scikit-learn-book
Source code for the "Learning scikit-learn: Machine Learning in Python"
epgauss/scipy
Scipy library main repository
epgauss/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet
epgauss/spark
Mirror of Apache Spark
epgauss/tensorflow
Computation using data flow graphs for scalable machine learning
epgauss/word2vec
Use word2vec to improve search result
epgauss/word2vec-ejmr
Word2Vec + Econ Job Market Rumor = Hilarious
epgauss/word2vec-sentiments
Tutorial for Sentiment Analysis using Doc2Vec in gensim (or "getting 87% accuracy in sentiment analysis in under 100 lines of code")