1437 Open source projects that are alternatives of or similar to Nlp Paper

A curated list of NLP resources focused on BERT, attention mechanism, Transformer networks, and transfer learning.

MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

This repository includes some papers that I have read or which I think may be very interesting.

Google AI 2018 BERT pytorch implementation

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

An implementation of DeepMind's Relational Recurrent Neural Networks in PyTorch.

The implementation of DeBERTa

Self-contained Machine Learning and Natural Language Processing library in Go

[ACL‘20] Highway Transformer: A Gated Transformer.

A place to keep track of all the annotated papers.

Author's implementation of the paper "Deep Relative Attributes" (ACCV 2016)

PyTorch Implementation of OpenAI GPT-2

Indonesian Language Models and its Usage

Code for the paper "Jukebox: A Generative Model for Music"

Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.

Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper

🔍 Haystack is an open source NLP framework that leverages Transformer models. It enables developers to implement production-ready neural search, question answering, semantic document search and summarization for a wide range of applications.

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding 论文的中文翻译 Chinese Translation!

Keras implementation of BERT with pre-trained weights

Code for the paper "KISS: Keeping it Simple for Scene Text Recognition"

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

One Person, One Model, One World: Learning Continual User Representation without Forgetting

NLP library designed for reproducible experimentation management

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Electra pre-trained model using Vietnamese corpus

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

GPT-2 French demo | Démo française de GPT-2

End-to-end ASR/LM implementation with PyTorch

A collaborative collection of open-source safe GPT-3 prompts that work well

This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN

a sklearn wrapper for Google's BERT model

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

My Reading Lists of Deep Learning and Natural Language Processing

resources for the IBM Airlines Table-Question-Answering Benchmark

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Awesome Resources for Advanced Computer Vision Topics

A collection of AWESOME things about domian adaptation

Quantize weights and activations in Recurrent Neural Networks.

Personalized Query Completion

Code for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.

Unofficial implementation of Google's FNet: Mixing Tokens with Fourier Transforms

Natural Language Processing Tutorial for Deep Learning Researchers

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Open-source benchmark datasets and pretrained transformer models in the Filipino language.

The code for paper 'DeepcomplexMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution'

Action recognition using soft attention based deep recurrent neural networks

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Abstractive summarisation using Bert as encoder and Transformer Decoder

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Gorgonia is a library that helps facilitate machine learning in Go.

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation, CVPR 2018 (Spotlight paper, 6.6%)