Stars
Resources for "Natural Language Processing" Coursera course.
Code for the paper "Language Models are Unsupervised Multitask Learners"
Examples for High Performance Spark
Docker build for Zeppelin, a web-based Spark notebook
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Codelab exercises for the DOST Deep Learning Workshop July 2017
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Videos, notes and experiments to understand deep learning
My notebooks for the eBay / CSUMB Data Science for Search Course
Geo-Located Data: Extracting Patterns from Mobile Data using Scikit-Learn and Cassandra
A curated list of awesome Machine Learning frameworks, libraries and software.
Python Helper library for Jupyter Notebooks
Time series classification and clustering code written in Python.
Minimal and clean examples of machine learning algorithms implementations
This library provides implementations for commonly used algorithms written in Scala
PredictionIO, a machine learning server for developers and ML engineers.
Apache Spark - A unified analytics engine for large-scale data processing
Lightweight, modular, and extensible library for functional programming.
A community driven list of useful Scala libraries, frameworks and software.