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Name: Vikas Raunak
Type: User
Company: Microsoft
Bio: Senior Research Scientist at Microsoft
Location: Redmond
Name: Vikas Raunak
Type: User
Company: Microsoft
Bio: Senior Research Scientist at Microsoft
Location: Redmond
A Tensorflow Implementation of Faster RCNN
Evolutionary Neural Networks backed by TensorFlow and pure Python
A partial TensorFlow implementation of "Learning Efficient Algorithms with Hierarchical Attentive Memory"
Neural speaker recognition/verification system based on Kaldi and Tensorflow
Docker image for Tensorflow and Keras with CUDA support
TensorFlow implementation of normalizations such as Layer Normalization, HyperNetworks.
tensorflow rewrite of Yoon Kim's lstm-char-cnn
Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"
Tensorflow-based Recommendation systems
Practical Examples for RNNs in Tensorflow
Tensorflow implementation of attention mechanism for text classification tasks.
RNN Character Autoencoder built with TensorFlow
TensorFlow implementation of recurrent neural network encoder-decoder architecture model for statistical machine translation, as detailed in this paper: https://arxiv.org/pdf/1406.1078.pdf
MNIST tutorial with Tensorflow Slim (tf-slim)
This repository contains code examples for the course CS 20SI: TensorFlow for Deep Learning Research.
Short tutorial for TensorFlow, designed to be presented in-person
A series of deep learning tutorials using Tensorflow and Python
Wasserstein DCGAN in Tensorflow/Keras
Seq2seq chatbot with attention and anti-language model to suppress generic response, option for further improve by deep reinforcement learning.
TensorFlow and Scikit Flow examples
A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly
TensorFlow implementation of an arbitrary order Factorization Machine
Deep learning library featuring a higher-level API for TensorFlow.
Pedagogical example realization of wide & deep networks, using TensorFlow and TFLearn.
Implementation of Trimmed Grassmann Average (TGA) by Hauberg S et al. in Python
A fantasy mini-RPG built with Python and Pygame.
Neural network toolkit for Python
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano
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.