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Name: Dibyendu Bhattacharya
Type: User
Company: Amazon
Location: Bangalore
Name: Dibyendu Bhattacharya
Type: User
Company: Amazon
Location: Bangalore
A curated list of awesome big data frameworks, ressources and other awesomeness.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Autonomous driving - car detection using the very powerful YOLO model
Fully convolutional deep neural network to remove transparent overlays from images
A complete computer science study plan to become a software engineer.
Checklist of videos and exercises that you can follow if you want to get a good baseline for Data Structures and Algorithms.
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Repository of sample Databricks notebooks
Deep Learning Specialization by Andrew Ng on Coursera.
Deep Learning Specialization by Andrew Ng on Coursera.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Deep learning driven jazz generation using Keras & Theano!
A collection of various deep learning architectures, models, and tips
PySpark, Databrick, h2o, MLlib
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
Example code on running Confluent Platform
Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
The world's simplest facial recognition api for Python and the command line
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Distributed Rule Engine using HBase Co-Processor
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
Mirror of Apache Blur
Interview questions
Code examples supporting the "Intro to Apache Spark" video published by O'Reilly Media
A (very incomplete) project that combines machine learning with music.
Mirror of Apache Kafka
High Performance Kafka Connector for Spark Streaming.Supports Multi Topic Fetch, Kafka Security. Reliable offset management in Zookeeper. No Data-loss. No dependency on HDFS and WAL. In-built PID rate controller. Support Message Handler . Offset Lag checker.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.