Tulsi Jain's repositories

Unsupervised-Image-Representation

Self Supervised Image Representation Learning with Deep InfoMax

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VAE_MNIST

A Variational Auto Encoder on MNIST Dataset

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cnn-rnn-siamese-video-similarity

Tensorflow based implementation of deep CNN + LSTM based siamese network to capture video similarity in a specific setting

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coding-interview-university

A complete computer science study plan to become a software engineer.

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CodingChallenge

Coding Challenge

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Multicore_Processors_NYU_Spring19

A graduate level course at NYU

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zfs

ZFS on Linux - the official OpenZFS implementation for Linux.

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CS234

My Solution of Assignments of CS234

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curiosity-is-all-you-need

PyTorch implementation of Curiosity Is All You Need

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Deep-Learning-Papers-Reading-Roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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guides

General contributing guidelines and coding standards.

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hpc

A quick reference to access NYU High Performance Computing

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LSTM-autoencoder

TensorFlow LSTM-autoencoder implementation

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MIT-6.824-labs

MIT 6.824 (Distributed Systems) labs in Golang

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Production-Quality-Software

Production Level Quality Code of Different Projects/Applications

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Production-Quality-Software-1

Under Prof. Schidlowsky | Summer 2016 | NYU

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pytorch-mdn

Mixture Density Networks (MDN) implemented in PyTorch

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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Video-Summarization-with-LSTM

Implementation of our ECCV 2016 Paper (Video Summarization with Long Short-term Memory)

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video_generator

This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.

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