kalyanp Goto Github PK
Name: Kalyan Penta
Type: User
Company: Arizona State University
Location: United States
Name: Kalyan Penta
Type: User
Company: Arizona State University
Location: United States
Implementation of neural language models, in particular Collobert + Weston (2008) and a stochastic margin-based version of Mnih's LBL.
Neural conversational model in Torch
Felix's project for composing music using neural nets.
Java (convolutional or fully-connected) neural network implementation with plugin for Weka. Uses dropout and rectified linear units.
java deep learning algorithms and deep neural networks with gpu acceleration
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Neural networks in NumPy/Cython
Neural Turing Machine
Python-based OCR package using recurrent neural networks.
Implementation of caption-image retrieval from the paper "Order-Embeddings of Images and Language"
Chris Okasaki’s Purely Functional Data Structures in Scala
BigPipe streaming for the Play Framework
Example lib to demonstrate pretty good security.
Example of using real-time charts with Play Framework and server-side events
Example Play authentication with remember me cookies.
Play Framework
A Java game development framework that deploys to JVM, HTML5, Android and iOS.
Probabilistic Modeling Toolkit for Matlab/Octave.
PredictionIO Scala SDK
Pattern recognition and machine learning toolbox
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Fast Python Bloom Filter using Mmap
Question answering dataset featured in "Teaching Machines to Read and Comprehend
ReactiveLDA is a fast, lightweight implementation of the Latent Dirichlet Allocation (LDA) algorithm, using a parallel vanilla Gibbs sampling algorithm.
Reactive Message Queue
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.