ravithejaburugu Goto Github PK

absa

Aspect Based Sentiment Analysis

ahiru_book_pymc

アヒル本(http://www.kyoritsu-pub.co.jp/bookdetail/9784320112421) の各種モデルをPyMC3にて実装.

aimarketplace1

algorithmiaskills

algorithmiaskills1

anlp

Contains demo codes for the course Applied Natural Language Processing

auto-sklearn

awesome-meta-learning

A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.

awesome-rnn

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

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

bayesian-modelling-in-python-1

A python tutorial on bayesian modeling techniques (PyMC3)

bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, and XLNet)

bollywood_workshop

Bollywood workshop at PyCon India 2018

ccw_tutorial_theano

Common Code Workflow tutorial on Theano

co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

courses

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

cs224u

Code for Stanford CS224u

dask-ml

Scalable Machine Learn with Dask

data-science

data-science-1

datagov_datasets

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

datumbox-framework

Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.

deep-learning-for-recommendation-systems

This repository contains Deep Learning based articles , paper and repositories for Recommender Systems

deeplearning

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

dlbook_exercises

Exercises for the Deep Learning textbook at www.deeplearningbook.org

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

ds_projects

Data-driven projects repo

edward

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