joydeepml's starred repositories
data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Building-Trading-Bots
Building Trading Algorithms with Python, published by Packt
pa11ycrawler
Python crawler (using Scrapy) that uses Pa11y to check accessibility of pages as it crawls.
FaceRecognitionApp
Face Recognition Android App
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠Amazon SageMaker.
amazon-sagemaker-workshop
Amazon SageMaker workshops: Introduction, TensorFlow in SageMaker, and more
leaflet-providers
An extension to Leaflet that contains configurations for various free tile providers.
neo2cosmos
copy neo4j to Cosmos DB
azure-cosmosdb-graph-bulkexecutor-dotnet-getting-started
.NET sample of Bulk Executor Utility for Azure Cosmos DB Gremlin API
azure-cosmos-db-graph-nodejs-getting-started
Azure Cosmos DB's Graph API provides the graph data model and Gremlin. This tutorial shows how to get started with the Graph (Gremlin) API and the Node.js SDK.
sql-server-samples
Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge
lambda-refarch-iotbackend
Serverless Reference Architecture for creating an IoT Backend
lambda-refarch-webapp
The Web Application reference architecture is a general-purpose, event-driven, web application back-end that uses AWS Lambda, Amazon API Gateway for its business logic. It also uses Amazon DynamoDB as its database and Amazon Cognito for user management. All static content is hosted using AWS Amplify Console.
awesome-rnn
Recurrent Neural Network - A curated list of resources dedicated to RNN
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-deep-vision
A curated list of deep learning resources for computer vision
awesome-rl
Reinforcement learning resources curated
Practical_RL
A course in reinforcement learning in the wild
CSC_deeplearning
3-day dive into deep learning at csc
Practical_DL
DL course co-developed by YSDA, HSE and Skoltech
youtube-dl
Command-line program to download videos from YouTube.com and other video sites
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
azuredevtour
Azure Dev Tour - Sample Code & Resources
UseRSportTutorial
Tutorial material for Sports Analytics with R presented at the 2017 Melbourne Data Science Week
fast_retraining
Show how to perform fast retraining with LightGBM in different business cases
t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
LyndaCaptionToSrtConvertor
Convert .caption files from Lynda offline courses to srt subtitle files