Pinned Repositories
anlp
Contains demo codes for the course Applied Natural Language Processing
bertviz
Tool for visualizing attention in the Transformer model (BERT, GPT-2, and XLNet)
courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
LearnDataScience
Repo for the Learn Data Science program
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
Python-Real-World-Machine-Learning
Code files added
sentiment_analysis
ravithejaburugu's Repositories
ravithejaburugu/kafka-python
Python client for Apache Kafka
ravithejaburugu/PyKE
Kepler, K2 & TESS Data Analysis Tools
ravithejaburugu/PythonDataScienceHandbook
Jupyter Notebooks for the Python Data Science Handbook
ravithejaburugu/python-sdk
:snake: Client library to use the IBM Watson services in Python and available in pip as watson-developer-cloud
ravithejaburugu/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
ravithejaburugu/Machine-Learning-Algorithms-from-Scratch
Implementing machine learning algorithms from scratch.
ravithejaburugu/rasa_nlu
turn natural language into structured data
ravithejaburugu/scikit-learn
scikit-learn: machine learning in Python
ravithejaburugu/incubator-singa
Mirror of Apache Singa (Incubating)
ravithejaburugu/rudimentary-ai-composer
A very basic LSTM composer, doesn't compose any proper music for now
ravithejaburugu/pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
ravithejaburugu/Bayesian-Modelling-in-Python-1
A python tutorial on bayesian modeling techniques (PyMC3)
ravithejaburugu/pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
ravithejaburugu/edward
A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.
ravithejaburugu/TypeScript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
ravithejaburugu/Bayesian-Modelling-in-Python
A python tutorial on bayesian modeling techniques (PyMC3)
ravithejaburugu/lm
A github repo for the advanced linear models for data science book
ravithejaburugu/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 ;)
ravithejaburugu/courses
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
ravithejaburugu/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.
ravithejaburugu/deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind
ravithejaburugu/elki
ELKI Data Mining Toolkit
ravithejaburugu/encog-java-core
ravithejaburugu/wAlnut
Work in progress towards an artificial general intelligence(AGI) for everyone
ravithejaburugu/datumbox-framework
Datumbox is an open-source Machine Learning framework written in Java which allows the rapid development of Machine Learning and Statistical applications.
ravithejaburugu/dlbook_exercises
Exercises for the Deep Learning textbook at www.deeplearningbook.org
ravithejaburugu/DataScienceSpecialization.github.io
http://DataScienceSpecialization.github.io
ravithejaburugu/JSAT
Java Statistical Analysis Tool, a Java library for Machine Learning
ravithejaburugu/htm.java
Hierarchical Temporal Memory implementation in Java - an official Community-Driven Java port of the Numenta Platform for Intelligent Computing (NuPIC).
ravithejaburugu/Mallet
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.