raghavendranpm Goto Github PK
Name: Raghavendran P M
Type: User
Location: Bangalore
Name: Raghavendran P M
Type: User
Location: Bangalore
Residual networks implementation using Keras-1.0 functional API
Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library
Keras pretrained models (VGG16) + Transfer Learning for predicting classes in the Oxford 102 flower dataset
Neural network visualization toolkit for keras
Neural machine translator for English2German translation.
This is the code for "How to Make a Prediction - Intro to Deep Learning #1' by Siraj Raval on YouTube
This is the code for the "How to Do Linear Regression the Right Way" live session by Siraj Raval on Youtube
Find similar documents using Latent Semantic Indexing
Text classification based on LSTM on R8 dataset for pytorch implementation
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Machine learning library written in readable python code
machine learning and deep learning tutorials, articles and other resources
This is the code for the "How to Make a Neural Net" live session by @Sirajology on Youtube
This is the code for the "Make a Neural Network" - Intro to Deep Learning #2 by Siraj Raval on Youtube
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
End-To-End Memory Network using Tensorflow
End-To-End Memory Networks in Theano
End-To-End Memory Networks for bAbI question-answering tasks
"End-To-End Memory Networks" in Tensorflow
Memory Networks implementations
Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
Models built with TensorFlow
Multi Label Image Classification
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
myPhysicsLab provides JavaScript classes to build real-time interactive animated physics simulations
A nasnet in tensorflow
A sentiment analyzer using deep rnns, built with TensorFlow
A browser-based neural network simulation
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.