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Arnab Kar's Projects

stnbhwd icon stnbhwd

Modules for spatial transformer networks (BHWD layout)

suffix-trees icon suffix-trees

Python implementation of Suffix Trees and Generalized Suffix Trees. Provided also methods with typcal aplications of STrees and GSTrees.

suffixtree icon suffixtree

Optimized implementation of suffix tree in python using Ukkonen's algorithm.

surprise icon surprise

A Python scikit for building and analyzing recommender systems

symplectic-arxiv18a icon symplectic-arxiv18a

MATLAB codes for the 2018 arXiv paper discussing synthesis of logical Clifford operators for stabilizer codes.

system-design-primer icon system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tabbypdf icon tabbypdf

A tool for extracting arbitrary tables from untagged PDF documents

tensorflow icon tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-tutorial icon tensorflow-tutorial

Practical tutorials and labs for TensorFlow used by Nvidia, FFN, CNN, RNN, Kaggle, AE

tensorflow-vae-gan-draw icon tensorflow-vae-gan-draw

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

tf-rnn icon tf-rnn

Practical Examples for RNNs in Tensorflow

tf_g icon tf_g

My Final Degree Project called "Algorithms for Big Data: Graphs and PageRank"

the-coding-interview icon the-coding-interview

Programming exercises, code katas and puzzles for your job interview training or just for fun

theano-tutorials icon theano-tutorials

Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.

tktltiki2 icon tktltiki2

Template for theses and seminar papers at University of Helsinki CS department

topographicvae icon topographicvae

Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"

torch-residual-networks icon torch-residual-networks

This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.

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