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deep-learning x

natural-language-understanding x

57 search results found

Nlp Recipes ⭐ 6,321

Natural Language Processing Best Practices & Examples

Openprompt ⭐ 4,006

An Open-Source Framework for Prompt-Learning.

Autotrain Advanced ⭐ 2,928

🤗 AutoTrain Advanced

Gluon Nlp ⭐ 2,457

Mt Dnn ⭐ 2,154

Multi-Task Deep Neural Networks for Natural Language Understanding

Deberta ⭐ 1,673

The implementation of DeBERTa

Speech Emotion Analyzer ⭐ 1,155

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Cpm Live ⭐ 449

Live Training for Open-source Big Models

A simplified PyTorch implementation of "SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient." (Yu, Lantao, et al.)

Tf Seq2seq ⭐ 391

Sequence to sequence learning using TensorFlow.

Named Entity Recognition

Nlp Natural Language Processing ⭐ 289

Projects and useful articles / links

Zero and Few shot named entity & relationships recognition

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.

Dialoglue ⭐ 256

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

Coursera Natural Language Processing Specialization ⭐ 217

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

Contrastive_learning_papers ⭐ 189

A list of contrastive Learning papers

Spokestack Python ⭐ 124

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

Deep Nlp Seminars ⭐ 118

Materials for deep NLP course

Xlnet_extension_tf ⭐ 112

XLNet Extension in TensorFlow

Spark Nlp Models ⭐ 100

Models and Pipelines for the Spark NLP library

Python Tutorial Notebooks ⭐ 97

Python tutorials as Jupyter Notebooks for NLP, ML, AI

Arch Data Science ⭐ 83

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

classy is a simple-to-use library for building high-performance Machine Learning models in NLP.

Capsule Nlu ⭐ 71

Joint Slot Filling and Intent Detection via Capsule Neural Networks (ACL'19) https://arxiv.org/abs/1812.09471

Hands On Python Natural Language Processing ⭐ 65

Bidaf Keras ⭐ 60

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

Imodelsx ⭐ 60

Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.

Discovery ⭐ 59

Mining Discourse Markers for Unsupervised Sentence Representation Learning

Reading_comprehension_tf ⭐ 36

Machine Reading Comprehension in Tensorflow

Mhpc Natural Language Processing Lectures ⭐ 34

This is the second part of the Deep Learning Course for the Master in High-Performance Computing (SISSA/ICTP).)

Cornell Instruction Following Framework

Sunnahgpt ⭐ 30

SunnahGPT is a natural language processing (NLP) project aimed at scraping hadith data from the popular website sunnah.com and applying OpenAI's GPT-3.5 model to generate textual embeddings for each hadith

Bert_extension_tf ⭐ 26

BERT Extension in TensorFlow

Ai Engine ⭐ 25

Easy to use Multi-Provider ASR/Speech To Text and NLP engine

Abstractive opinion summarization system (SelSum) and the largest dataset of Amazon product summaries (AmaSum). EMNLP 2021 conference paper.

KoTAN: Korean Translation and Augmentation with fine-tuned NLLB

Sequence_labeling_tf ⭐ 17

Sequence Labeling in Tensorflow

Learningmeterspoems ⭐ 16

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

Implemented Data Science ⭐ 15

Implementation of various data science techniques and research papers

🎓📲 Curriculum to Learn Natural Language Processing. Prerequisites in Python, Deep Learning, Linear Algebra, Probability and Calculus is Needed. A compilation of resources.

Nlpboost ⭐ 14

Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.

Mlprogram ⭐ 12

PyTorch library for synthesizing programs from natural language

[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

Machine Reading Comprehension (MRC)

Machine Learning Experience

Acl2021 Factual Error Correction ⭐ 9

Smart Banking Chatbot ⭐ 8

Smart Banking Chat Bot- This is an AI based project which uses several ML algorithms for Natural Language Understanding which identifies intent and entities from user issues and generates dialogue.

A TensorFlow-compatible Python library that provides models and layers to implement custom Transformer neural networks. Built on TensorFlow 2.

Seq2seq_tf ⭐ 8

Sequence-to-Sequence in Tensorflow

Bert Classifier ⭐ 7

A general text classifier based on BERT. Multi-process data processing, multi-gpu parallel training, rich monitoring indicators.

Structscribe ⭐ 7

Resources and code for: Scalable Micro-planned Generation of Discourse from Structured Data

Language_model_tf ⭐ 6

Language Model in Tensorflow

[ICML 2023] Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning

Multi Srl ⭐ 6

Code and models for the COLING2020 paper "Bridging the Gap in Multilingual Semantic Role Labeling: a Language-Agnostic Approach".

Hierarchical Language Modeling ⭐ 5

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

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1-57 of 57 search results

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