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pytorch-everybodydancenow

Implementation of Everybody Dance Now by pytorch

qiskit-terra

Terra provides the foundations for Qiskit. It allows the user to write quantum circuits easily, and takes care of the constraints of real hardware.

quantum

Microsoft Quantum Development Kit Samples

reinforcement-learning-notebooks

A collection of Reinforcement Learning algorithms from Sutton and Barto's book and other research papers implemented in Python.

sagemaker-rec-demo

Recommendation engine example notebook using Amazon SageMaker and Factorization Machines

sagemaker101

Tutorial materials for SageMaker 101

scipy-2017-sklearn

Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller

serverless-application-model

AWS Serverless Application Model (AWS SAM) prescribes rules for expressing Serverless applications on AWS.

siddhartha

sort-algorithms

spark

Apache Spark

spark-nlp

Natural Language Understanding Library for Apache Spark.

spark-nlp-workshop

Public runnable examples of using John Snow Labs' NLP for Apache Spark.

spark-py-notebooks

Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks

sql_practice_problems

This repository contains my solutions to the intermediate and advanced problems from the "SQL Practice Problems" book by Sylvia Moestl Vasilik (http://www.sqlpracticeproblems.com). The book and associated files are intended for MS SQL. I translated the table definitions and data files into MySQL and used it to write out my solutions.

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

tfjs

A WebGL accelerated JavaScript library for training and deploying ML models.

tf_speech_recognition

the_interview_attendance_problem

The Interview Attendance Problem is a data set for predicting whether or not a job candidate will show up to the job interview based on a set of parameters.

tutorials

This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for H2O-3, Driverless AI, Sparkling Water and more

vid2vid

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

visualdl

A platform to visualize the deep learning process and result.

waveglow

A Flow-based Generative Network for Speech Synthesis

wine_clustering_classification

With the Wine Clustering dataset we will use our machine learning models to help cluster classification on three diffferent wines: Barbera, Barolo and Gringnolio.

wisconsin_breast_cancer

In this dataset, classifiers will discriminate benign from malignant breast lumps.

word_based_neural_language

yolov3

YOLOv3: Training and inference in PyTorch

zeppelin_notebook_to_script

Converting a zeppelin notebook in single programming language to respective script