skurzhanskyi

pillars-of-gec

Pillars of Grammatical Error Correction: Comprehensive Inspection Of Contemporary Approaches In The Era of Large Language Models

trl

Train transformer language models with reinforcement learning.

gector-fast

A faster, simpler and distributed implementation of GECToR, a seq2edit GEC model

fairseq

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

gector

Official implementation of the papers "GECToR – Grammatical Error Correction: Tag, Not Rewrite" (BEA-20) and "Text Simplification by Tagging" (BEA-21)

pet

This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"

datasets

🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

speechbrain

A PyTorch-based Speech Toolkit

ua-gec

UA-GEC: Grammatical Error Correction and Fluency Corpus for the Ukrainian Language

awesome-ukrainian-nlp

Curated list of Ukrainian natural language processing (NLP) resources (corpora, pretrained models, libriaries, etc.)

GPU-Efficient-Networks

silero-models

Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

errant

ERRor ANnotation Toolkit: Automatically extract and classify grammatical errors in parallel original and corrected sentences.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

pytorch-seq2seq

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

YouTokenToMe

Unsupervised text tokenizer focused on computational efficiency

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

freesound-classification

Code for the 3rd place solution to Freesound Audio Tagging 2019 Challenge

kornia

Geometric Computer Vision Library for Spatial AI

spleeter

Deezer source separation library including pretrained models.

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

MUSE

A library for Multilingual Unsupervised or Supervised word Embeddings

EfficientNet-PyTorch

A PyTorch implementation of EfficientNet

sightseq

Computer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

shap

A game theoretic approach to explain the output of any machine learning model.

Facial-Similarity-with-Siamese-Networks-in-Pytorch

Implementing Siamese networks with a contrastive loss for similarity learning