Jerin Philip (jerinphilip)

jerinphilip

Geek Repo

Location:Bielefeld, Germany

Home Page:jerinphilip.github.io

Twitter:@jerinphilip_

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Jerin Philip's repositories

MaskGAN.pytorch

Pytorch implementation of MaskGAN

mann-ki-baat

Parallel data mining with Mann-ki-Baat

seq2seq-ocr

A simple experiment to see how seq2seq works for OCR.

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matching-handwritten-document-images

Attempt at putting together end to end pipeline in python for applying "Matching Handwritten Document Images"

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crnn.pytorch

Convolutional recurrent network in pytorch

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crnn.pytorch-1

PyTorch implementation of CRNN to do Image Text Recognition using torch.nn.CTCLoss

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d3-sandbox

Attempts to learn d3

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DCHub

DC Hub.

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EAST

A tensorflow implementation of EAST text detector

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espn-scrape

Scrape commentary from ESPN, some scripts written a while back. Maybe a good time to share.

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fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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Flash

LSH-GPU ANN package

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generative_inpainting

Generative Image Inpainting with Contextual Attention, CVPR 2018

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hakyll

A static website compiler library in Haskell

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indic_nlp_library

Resources and tools for Indian language Natural Language Processing

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L4

L4 (Lock-Free on Read) Hashtable is a C++ library that implements hash table with arbitray byte stream keys/values.

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marian-exps

Tinkering with marian, seeing how it affects training.

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massive-multilingual-sentence-embeddings

Attempted Implementation of Massively Multilingual Sentence Embedding

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NLP-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

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tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

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text-detection-ctpn

text detection mainly based on ctpn model in tensorflow, id card detect, connectionist text proposal network

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UCE4BT

Uncertainty-based Confidence Estimation for Back-Translation

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wiki-stats-indic

Throwaway stash repo: CSVs from stats.wikimedia.org to a nice graph.

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