Shamil Chollampatt's repositories
CTranslate2
Fast inference engine for Transformer models
fairseq-py
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
AltSwiftUI
Open Source UI framework based on SwiftUI syntax and features, adding backwards compatibility.
awesome-mlops
A curated list of references for MLOps
crosentgec-1
Code for cross-sentence grammatical error correction using multilayer convolutional seq2seq models (ACL 2019)
cynical
Cynical data selection
DrQA
Reading Wikipedia to Answer Open-Domain Questions
jfleg
JFLEG (JHU FLuency-Extended GUG) corpus for Grammatical Error Correction Evaluation
marian-dev
Fast Neural Machine Translation in C++ - development repository
mlconvgec2018
Code and model files for the paper: "A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction" (AAAI-18).
mosesdecoder
Moses, the machine translation system
neuqe
Neural quality estimation toolkit for grammatical error correction and other language generation applications.
neural-naacl2018
This repository contains neural models and instructions on how to reproduce our results for our neural grammatical error correction systems from M. Junczys-Dowmunt, R. Grundkiewicz, S. Guha, K. Heafield: Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task, NAACL 2018.
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.
normalizer
Normalizing module for Malayalam language
OpenNMT-py-1
Open Source Neural Machine Translation in PyTorch
pragmatic_segmenter
Pragmatic Segmenter is a rule-based sentence boundary detection gem that works out-of-the-box across many languages.
shamilcm.github.io
Personal Website
tflearn
Deep learning library featuring a higher-level API for TensorFlow.
undreamt
Unsupervised Neural Machine Translation
wav2letter
Facebook AI Research's Automatic Speech Recognition Toolkit
XLM
PyTorch original implementation of Cross-lingual Language Model Pretraining.