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Shubham Pachori's Projects

noise2noise icon noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

noisy_labels icon noisy_labels

TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER

nomadgram icon nomadgram

Instagram Clone with Python + Django + Django Rest Framework + React + Redux

nonauto-nmt icon nonauto-nmt

PyTorch Implementation of "Non-Autoregressive Neural Machine Translation"

noreward-rl icon noreward-rl

[ICML 2017] TensorFlow code for Curiosity-driven Exploration for Deep Reinforcement Learning

normface icon normface

NormFace: L2 HyperSphere Embedding for Face Verification, 99.21% on LFW

notebooks-1 icon notebooks-1

Jupyter notebooks for the Natural Language Processing with Transformers book

notify.run icon notify.run

A client and server for sending notifications to your own phone or desktop.

np-mssg icon np-mssg

the code from research paper "Efficient Non-parametric Estimation of Multiple Embeddings per Word in Vector Space" by Arvind Neelakantan* , Jeevan Shankar* , Alexandre Passos, Andrew McCallum

nphard icon nphard

Combinatorial Optimization with Graph Convolutional Networks and Guided Tree Search

npm icon npm

The original implementation of Min et al. "Nonparametric Masked Language Modeling" (paper https//arxiv.org/abs/2212.01349)

npmt icon npmt

Towards Neural Phrase-based Machine Translation

nqg icon nqg

neural question generation for reading comprehension

nrhes icon nrhes

Nuclear Renewable Hybrid Energy System simulation using MATLAB Simulink.

nri icon nri

Neural relational inference for interacting systems - pytorch

nrlpapers icon nrlpapers

Must-read papers on network representation learning (NRL) / network embedding (NE)

nsc icon nsc

Neural Sentiment Classification

nscr icon nscr

SIGIR2017: Item Silk Road: Recommending Items from Information Domains to Social Users

nsd icon nsd

Neural Scene De-rendering

nsepy icon nsepy

Python Library to get publicly available data on NSE website ie. stock quotes, historical data, live indices

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