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Type: User
Bio: I am interested in machine learning and algorithms. You can find my resume and linked projects from my "Resume" repository
Blog: NiPandha
Type: User
Bio: I am interested in machine learning and algorithms. You can find my resume and linked projects from my "Resume" repository
Blog: NiPandha
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
scikit-learn: machine learning in Python
Bidirectional Seq2Seq Model with Attention implemented in TF 1.0
Attention-based sequence to sequence learning
A general-purpose encoder-decoder framework for Tensorflow
Statistical Natural Language Processing at NYU
pytorch version of spatial transformer networks
A tutorial on the t-SNE learning algorithm
Computation using data flow graphs for scalable machine learning
Dynamic seq2seq in TensorFlow, step by step
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
[unmaintained]
PyTorch implementation of Spatial Transformer Network (STN) with Thin Plate Spline (TPS)
nyu-cv-fall-2017 assignment 3
The Viterbi algorithm is tagging algorithm based on TRIGRAM HIDDEN MARKOV MODELS (TRIGRAM HMMS)
Viterbi-Decoded Maximum Entropy Markov Model
Classifies webpages into categories defined in DMOZ dataset
Commented (but unaltered) version of original word2vec C implementation.
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.