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Name: Ravi Sharma
Type: User
Bio: Algorithms enthusiast
Name: Ravi Sharma
Type: User
Bio: Algorithms enthusiast
Contribute alternative assignments for Numerical Methods with Python
A curated list of gradient boosting research papers with implementations.
Python code for bayesian optimization using Gaussian processes
Implementation of Character-level Convolutional Networks for Text Classification in TensorFlow
UCL MSc Computational Statistics and Machine Learning Revision Notes
Deep Learning Specialization by Andrew Ng on Coursera.
Distributed load testing using Kubernetes on Google Container Engine
The fast.ai deep learning library, lessons, and tutorials
Document classification with Hierarchical Attention Networks in TensorFlow
Neural model for converting Image-to-Markup (by Yuntian Deng github.com/da03)
Deep neural network framework for multi-label text classification
fork of mantaflow (http://mantaflow.com/index.html)
A Ruby gem for reading a MathType binary and converting it to an XML form
Calabash extension step to convert MathType OLE objects to MathML
Converts equations from MathType format (MTEF) to MathML.
Models and examples built with TensorFlow
Classify Kaggle San Francisco Crime Description into 39 classes. Build the model with CNN, RNN (GRU and LSTM) and Word Embeddings on Tensorflow.
State-of-the-art coreference resolution based on neural nets and spaCy
TensorFlow Neural Machine Translation Tutorial
Implement en-fr translation task by implenting seq2seq, encoder-decoder in RNN layers with Attention mechanism and Beamsearch inference decoder in TensorFlow 1.3
📝 Wrapper library for text generation / language models at char and word level with RNN in TensorFlow [char-lm, word-lm, char-rnn-tensorflow, word-rnn-tensorflow]
Official version of TextTeaser.
Tensorflow implementation of attention mechanism for text classification tasks.
Python, Java implementation of TS-SS called from "A Hybrid Geometric Approach for Measuring Similarity Level Among Documents and Document Clustering"
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Simple web service providing a word embedding model
Pre-trained word vectors of 30+ languages
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.