Genta Indra Winata (gentaiscool)

gentaiscool

Geek Repo

Company:Bloomberg LP

Location:New York

Home Page:https://gentawinata.com

Twitter:@gentaiscool

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Organizations
audioku
HLTCHKUST
indobenchmark
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Genta Indra Winata's repositories

end2end-asr-pytorch

End-to-End Automatic Speech Recognition on PyTorch

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code-switching-papers

A curated list of research papers and resources on code-switching

few-shot-lm

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

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indonesian-nlp

A curated list of research papers and resources on Indonesian languages

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meta-emb

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

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rnn-transducer

A Pytorch Implementation of Transducer Model for End-to-End Speech Recognition

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matrix_fact

Matrix Factorization Library

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nlp-id-progress

The latest progress on the NLP research for the Indonesian language

speech-recognition-papers

Towards hot directions in industrial speech recognition

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acl-anthology

Data and software for building the ACL Anthology.

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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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BIG-bench

Beyond the Imitation Game collaborative benchmark for enormous language models

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

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GitHubGraduation-2021

Join the GitHub Graduation Yearbook and "walk the stage" on June 5.

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indonlu

The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained models, and a starter code! (AACL-IJCNLP 2020)

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lowresource-nlp-bootcamp-2020

The website for the CMU Language Technologies Institute low resource NLP bootcamp 2020

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mesh-transformer-jax

Model parallel transformers in JAX and Haiku

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NER-datasets

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

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NL-Augmenter

NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations

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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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PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

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promptsource

Toolkit for creating, sharing and using natural language prompts.

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pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

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seqeval

A Python framework for sequence labeling evaluation(named-entity recognition, pos tagging, etc...)

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transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

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xtreme

XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

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