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natural-language-processing x

transfer-learning x

54 search results found

Autogluon ⭐ 7,109

Fast and Accurate ML in 3 Lines of Code

Kashgari ⭐ 2,141

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

Sparseml ⭐ 1,910

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Easynlp ⭐ 1,871

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

Jiant ⭐ 1,603

jiant is an nlp toolkit

Transfer Learning Conv Ai ⭐ 1,499

🦄 State-of-the-Art Conversational AI with Transfer Learning

Spacy Transformers ⭐ 1,302

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

Awesome Transformer Nlp ⭐ 1,022

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

Bert_language_understanding ⭐ 886

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

Getting Things Done With Pytorch ⭐ 873

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.

Bert Keras ⭐ 802

Keras implementation of BERT with pre-trained weights

Easytransfer ⭐ 795

EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

Primeqa ⭐ 677

The prime repository for state-of-the-art Multilingual Question Answering research and development.

Naacl_transfer_learning_tutorial ⭐ 621

Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA

Nlp Paper ⭐ 579

Complete Life Cycle Of A Data Science Project ⭐ 499

Complete-Life-Cycle-of-a-Data-Science-Project

Ner Bert ⭐ 403

BERT-NER (nert-bert) with google bert https://github.com/google-research.

Abstractive Summarization With Transfer Learning ⭐ 387

Abstractive summarisation using Bert as encoder and Transformer Decoder

Sparsezoo ⭐ 347

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Awesome List Of Awesomes ⭐ 292

A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.

Transfer Nlp ⭐ 281

NLP library designed for reproducible experimentation management

Awesome Swiss German ⭐ 261

Multi-language Analyze text in 26 Cantonal Swiss German, Italian, German, Chinese (simplified), French, Italian. pply natural language understanding (NLU) to their applications with features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, and syntax analysis.

Backprop ⭐ 239

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

Pytorch Nlp Notebooks ⭐ 199

Learn how to use PyTorch to solve some common NLP problems with deep learning.

Pycontinual ⭐ 185

PyContinual (An Easy and Extendible Framework for Continual Learning)

Tldr Transformers ⭐ 163

The "tl;dr" on a few notable transformer papers.

Laserembeddings ⭐ 163

LASER multilingual sentence embeddings as a pip package

Nlp De Cero A Cien ⭐ 135

Curso práctico: NLP de cero a cien 🤗

Learn To Select Data ⭐ 131

Code for Learning to select data for transfer learning with Bayesian Optimization

Sluice Networks ⭐ 119

Code for Sluice networks: Learning what to share between loosely related tasks

Bert Sklearn ⭐ 119

a sklearn wrapper for Google's BERT model

Paper_annotations ⭐ 105

A place to keep track of all the annotated papers.

Tamnun Ml ⭐ 100

An easy to use open-source library for advanced Deep Learning and Natural Language Processing

Ulm Basenet ⭐ 97

Implementation of ULMFit algorithm for text classification via transfer learning

Enso: An Open Source Library for Benchmarking Embeddings + Transfer Learning Methods

Helo Word ⭐ 88

Team Kakao&Brain's Grammatical Error Correction System for the ACL 2019 BEA Shared Task

Awesome Artificial Intelligence Research ⭐ 80

A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.

Prompt Transferability ⭐ 79

On Transferability of Prompt Tuning for Natural Language Processing

Transformers Domain Adaptation ⭐ 79

Adapt Transformer-based language models to new text domains

Dialog Nlu ⭐ 78

Tensorflow and Keras implementation of the state of the art researches in Dialog System NLU

Tweet Stance Prediction ⭐ 77

Applying NLP transfer learning techniques to predict Tweet stance

Digital_peter_aij2020 ⭐ 66

Materials of the AI Journey 2020 competition dedicated to the recognition of Peter the Great's manuscripts, https://ai-journey.ru/contest/task01

SciFive: a text-text transformer model for biomedical literature

The Official Repository for 👉 CCAE: A Corpus of Chinese-based Asian Englishes @ NLPCC 2023

Creative Writing With Gpt2 ⭐ 58

Fine tune GPT-2 with your favourite authors!

Continuallm ⭐ 55

An Extensible Continual Learning Framework Focused on Language Models (LMs)

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

Decomposedprompttuning ⭐ 48

This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"

Photo Organizer ⭐ 46

Lviv Data Science Summer School 2016 project

Xlm Roberta Ner ⭐ 46

Named Entity Recognition with Pretrained XLM-RoBERTa

Dl_notebooks ⭐ 42

This repo contains all the notebooks mentioned in blog.

Adv_nlp_workshop_odsc_europe22 ⭐ 41

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems

State-of-the-art models in AI,ML,NLP & Vision for FinTech community by Yubi Data Science Team

Nlp_workshop_odsc_europe20 ⭐ 36

Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and Topic Models.

The Ultimate Google Tensorflow Developer Certificate Exam Study Guide ⭐ 35

Google TensorFlow Developer Certificate Study Guide

Efficient Task Transfer ⭐ 34

Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021

Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"

Bert_for_longer_texts ⭐ 25

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

Task Transferability ⭐ 24

Data and code for our paper "Exploring and Predicting Transferability across NLP Tasks", to appear at EMNLP 2020.

Live Manning Nlpconf20 ⭐ 21

Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural Language Processing

Oreilly Bert Nlp ⭐ 20

This repository contains code for the O'Reilly Live Online Training for BERT

Structural Correspondence Learning Scl ⭐ 19

The code base for the SCL implementation used in "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017 and in "Pivot Based Language Modeling for Improved Neural Domain Adaptation", NAACL 2018

Ml Research Made Easy ⭐ 19

Link of ML papers to their blogs/ supplementary material

Deep Learning ⭐ 19

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

Brand Sentiment Analysis ⭐ 17

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

Few_shot_dialogue_generation ⭐ 16

Dialogue Knowledge Transfer Networks (DiKTNet)

Deep Learning Experiments Implemented Using Google Colab ⭐ 16

Colab Compatible FastAI notebooks for NLP and Computer Vision Datasets

Implemented Data Science ⭐ 15

Implementation of various data science techniques and research papers

Machine Learning Summer Schools ⭐ 14

Curated materials for different machine learning related summer schools

Neural Scl Domain Adaptation ⭐ 13

The code base for the article "Neural Structural Correspondence Learning for Domain Adaptation", CoNLL 2017

Ntua Slp Nlp ⭐ 13

💻Speech and Natural Language Processing (SLP & NLP) Lab Assignments for ECE NTUA

Deep Learning Projects ⭐ 13

Best Deep Learning Projects for Advanced Learners

Vendorlink ⭐ 12

🌐 Identifying & Linking Vendor Migrants and Aliases on Darknet Markets. (ACL 2023)

Machine Learning From Scratch ⭐ 12

🤖 Python implementations of some of the fundamental Machine Learning models and algorithms from scratch with interactive Jupyter demos and math being explained.

Entitytargetedactivelearning ⭐ 12

Donkeybot ⭐ 11

🤖 Question Answering Bot for Rucio User Support (GSoC Project)

Oreilly Bert Hands On Nlp ⭐ 11

This repository contains code for the O'Reilly Live Online Training for Hands on Transfer Learning with BERT

Deep Learning With Neural Networks ⭐ 11

This repo contains various use-cases of deep-learning implemented in Pytorch. It also contains summarized notes of each chapter from the book, 'Deep Learning' written by Ian Goodfellow.

Sample Machine Learning Projects ⭐ 10

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.

Nlp_resources ⭐ 10

Resources related to NLP

Text Representation ⭐ 10

Text representation works, such as : paper, code, review, datasets, blogs, thesis and so on.

Writing With Bert ⭐ 10

Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset.

Image Finder ⭐ 9

Search relevant images by text query, using CLIP/ruCLIP embedder and HNSW index

Academic Paper Title Recommendation ⭐ 9

Supervised text summarization (title generation/recommendation) based on academic paper abstracts, with Seq2Seq LSTM and the power of Transfer Learning and T5.

Hugging Face Tutorials ⭐ 9

Getting started with Hugging Face

Neural_emotion_intensity_prediction ⭐ 9

The code for our proposed neural models which give state-of-the-art performance for emotion intensity detection in tweets.

Intent_and_slot_classification ⭐ 8

One of the main NLU tasks is to understand the intents (sequence classification) and slots (entities within the sequence). This repo help classify both together using Joint Model (multitask model). BERT_SMALL is used which can be changed to any other BERT variant.

Pblm Domain Adaptation ⭐ 8

The code base for the article "Pivot Based Language Modeling for Improved Neural Domain Adaptation", NAACL 2018

Udacity Deep Learning Nanodegree ⭐ 8

The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.

Digivision ⭐ 7

A deep learning based application which is entitled to help the visually impaired people. The application automatically generates the textual description of what's happening in front of the camera and conveys it to person through audio. It is capable of recognising faces and tell user whether a known person is standing in front of him or not.

Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning ⭐ 6

Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te

Issueslanguagemodel ⭐ 6

A Language model trained on a large corpus of GitHub Issues

Wrapper for stable version of RoBERTa language models

KR3: Korean Restaurant Review with Ratings / Experiments on Parameter-efficient Tuning and Task-adaptive Pre-training

An autoML for explainable text classification.

Ai For Web Accessibility ⭐ 5

This is the GitHub repository for my Masters dissertation titled: Artificial Intelligence for Web Accessibility which I completed as a part of my MSc in Data Science course in the University of Southampton, UK under the supervision of Prof. Mike Wald

Tweet Sentiment Extraction ⭐ 5

(Silver medal - 60th place - Top 3%) Repository for the "Tweet Sentiment Extraction" Kaggle competition.

Bert_imdb ⭐ 5

A repo for NLP model Bert.

Chapter11 ⭐ 5

Chapter 11: Transfer Learning/Domain Adaptation

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