Finetune VITS and MMS using HuggingFace's tools

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

Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

Code repository for the paper "MrT5: Dynamic Token Merging for Efficient Byte-level Language Models."

SAGE: Spelling correction, corruption and evaluation for multiple languages

Kichwa ASR dataset and code

HFST optimized-lookup standalone library and command line tool

Obtain Word Alignments using Pretrained Language Models (e.g., mBERT)

Code used for sourcing and cleaning the BigScience ROOTS corpus

🚀 State-of-the-art parsers for natural language.

End-to-end Neural Coreference Resolution

English data

Repository with code for MaChAmp: https://aclanthology.org/2021.eacl-demos.22/

Apertium linguistic data for Saraiki

Deterministically constructs a sequence of morpheme tensors from a word using Tensor Product Representation

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

SincNet is a neural architecture for efficiently processing raw audio samples.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

A motif extraction tool based on rmotifx and motif-x

eXternally configurable REference and Non Named Entity Recognizer

Code for "Parsing with Multilingual BERT, a Small Corpus, and a Small Treebank" by Ethan C. Chau, Lucy H. Lin, and Noah A. Smith

Official code for our CoNLL 2019 paper on Cross-lingual Dependency Parsing with Unlabeled Auxiliary Languages

Direct Attentive Dependency Parser

Dependency Parsing as Sequence Labeling with BERT

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice Conversion for everyone

Language is the structural form of sharing thoughts and emotions in humans. The research motivates to stroke up for the Human-computer interaction. The overall intention of my PhD research program …

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

A set of tutorials for torchtext