patelrajnath

pytorch-dl

Pytorch based BERT, mBART and NMT training

makeesy-deep-learning

ACE

Official code for our ACL-IJCNLP 2021 paper "Automated Concatenation of Embeddings for Structured Prediction"

ACL2022_KnowledgeNLP_Tutorial

Materials for ACL-2022 tutorial: Knowledge-Augmented Methods for Natural Language Processing

c_plus_plus

DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

dialoglue

DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

dino

This repository contains the code for "Generating Datasets with Pretrained Language Models".

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

FLAN

flax

Flax is a neural network library for JAX that is designed for flexibility.

FOX

Federated Knowledge Extraction Framework

learn_advanced_py

luke

LUKE -- Language Understanding with Knowledge-based Embeddings

makeesy-machine-learning

makeesy-python

makeesy_nlp

notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

paraphrastic-representations-at-scale

patelrajnath.github.io

Build a Jekyll blog in minutes, without touching the command line.

projects

🪐 End-to-end NLP workflows from prototype to production

python-docs-samples

Code samples used on cloud.google.com

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

simpletransformers

Transformers for Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

torch-golf

Silly twitter torch implementations.

transformers

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

UER-py

Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo

wiki_ner_annotation

wikipedia2vec

A tool for learning vector representations of words and entities from Wikipedia

ZeroGen

Code for our paper “ZeroGen: Efficient Zero-shot Learning via Dataset Generation”.