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Search results for pytorch natural language processing
natural-language-processing
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pytorch
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333 search results found
Pointer_summarizer
⭐
859
pytorch implementation of "Get To The Point: Summarization with Pointer-Generator Networks"
Nlp Tutorial
⭐
836
A list of NLP(Natural Language Processing) tutorials
Inltk
⭐
808
Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need
Curated Transformers
⭐
790
🤖 A PyTorch library of curated Transformer models and their composable components
Transformers Tutorials
⭐
777
Github repo with tutorials to fine tune transformers for diff NLP tasks
Lightautoml
⭐
769
LAMA - automatic model creation framework
Bert Multi Label Text Classification
⭐
761
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Textgan Pytorch
⭐
743
TextGAN is a PyTorch framework for Generative Adversarial Networks (GANs) based text generation models.
Nncf
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725
Neural Network Compression Framework for enhanced OpenVINO™ inference
Lightnlp
⭐
725
基于Pytorch和torchtext的自然语言处理深度学习框架。
Texar Pytorch
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711
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Nlp Pytorch Zh
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703
《Natural Language Processing with PyTorch》中文翻译
Awesome_deep_learning_interpretability
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699
深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)
Trankit
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693
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Primeqa
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677
The prime repository for state-of-the-art Multilingual Question Answering research and development.
Scibert
⭐
643
A BERT model for scientific text.
Patrickstar
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631
PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.
Fast_abs_rl
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622
Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"
Gnns For Nlp
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619
Tutorial: Graph Neural Networks for Natural Language Processing at EMNLP 2019 and CODS-COMAD 2020
Tutel
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599
Tutel MoE: An Optimized Mixture-of-Experts Implementation
Openattack
⭐
571
An Open-Source Package for Textual Adversarial Attack.
Sentence Vae
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569
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
Promptkg
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561
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
Speedtorch
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559
Library for faster pinned CPU <-> GPU transfer in Pytorch
Transformers For Nlp 2nd Edition
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555
Transformer models from BERT to GPT-4, environments from Hugging Face to OpenAI. Fine-tuning, training, and prompt engineering examples. A bonus section with ChatGPT, GPT-3.5-turbo, GPT-4, and DALL-E including jump starting GPT-4, speech-to-text, text-to-speech, text to image generation with DALL-E, Google Cloud AI,HuggingGPT, and more
Treasure Of Transformers
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541
💁 Awesome Treasure of Transformers Models for Natural Language processing contains papers, videos, blogs, official repo along with colab Notebooks. 🛫☑️
Unifiedskg
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534
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Daily Deeplearning
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532
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial
Textrl
⭐
519
Implementation of ChatGPT RLHF (Reinforcement Learning with Human Feedback) on any generation model in huggingface's transformer (blommz-176B/bloom/gpt/bart/T5/MetaICL)
Nlp_pytorch_project
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517
Embedding, NMT, Text_Classification, Text_Generation, NER etc.
Small Text
⭐
509
Active Learning for Text Classification in Python
Unifiedskg
⭐
508
[EMNLP 2022] Unifying and multi-tasking structured knowledge grounding with language models
Complete Life Cycle Of A Data Science Project
⭐
499
Complete-Life-Cycle-of-a-Data-Science-Project
Similarities
⭐
495
Similarities: a toolkit for similarity calculation and semantic search. 相似度计算、匹配搜索工具包,支持亿级数据文搜文、文搜图、图搜图,python3开发,开箱即用。
Macbert
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489
Revisiting Pre-trained Models for Chinese Natural Language Processing (MacBERT)
Matchbox
⭐
488
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
Pytorch_notebooks
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483
🔥 A collection of PyTorch notebooks for learning and practicing deep learning
Deepnlp Course
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479
Deep NLP Course
Gpt 2 Pytorch
⭐
478
Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation
Attention Networks For Classification
⭐
477
Hierarchical Attention Networks for Document Classification in PyTorch
Attn2d
⭐
475
Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction
Xlnet Pytorch
⭐
475
Simple XLNet implementation with Pytorch Wrapper
Code_search
⭐
474
Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"
Tensor_parallel
⭐
474
Automatically split your PyTorch models on multiple GPUs for training & inference
Pinferencia
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473
Python + Inference - Model Deployment library in Python. Simplest model inference server ever.
Pytorch Bert Crf Ner
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461
KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)
Allennlp Models
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450
Officially supported AllenNLP models
Koelectra
⭐
448
Pretrained ELECTRA Model for Korean
Nboost
⭐
439
NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)
Tango
⭐
436
Organize your experiments into discrete steps that can be cached and reused throughout the lifetime of your research project.
Practical_nlp_in_pytorch
⭐
428
A repository containing tutorials for practical NLP using PyTorch
Bertwithpretrained
⭐
428
An implementation of the BERT model and its related downstream tasks based on the PyTorch framework
Pytextclassifier
⭐
427
pytextclassifier is a toolkit for text classification. 文本分类,LR,Xgboost,TextCNN,FastText,TextRNN,BERT等分类模型
Albert_pytorch
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423
A Lite Bert For Self-Supervised Learning Language Representations
Python Ai
⭐
420
深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、Tens
Cdqa
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418
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
Mengzi
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405
Mengzi Pretrained Models
Openai Clip
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404
Simple implementation of OpenAI CLIP model in PyTorch.
Ner Bert
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404
BERT-NER (nert-bert) with google bert https://github.com/google-research.
Nlp Notebook
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390
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生
Studies
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387
Notes of Develop/NLP/DeepLearning/Algorithms/LeetCodes
Paperrobot
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384
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
Azureml Bert
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384
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service
Awesome Gcn
⭐
377
resources for graph convolutional networks (图卷积神经网络相关资源)
Paragraph Vectors
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375
📄 A PyTorch implementation of Paragraph Vectors (doc2vec).
Adaptnlp
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371
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Deep_learning_nlp
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359
Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP
Neuronlp2
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358
Deep neural models for core NLP tasks (Pytorch version)
Pytorch_rvae
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355
Recurrent Variational Autoencoder that generates sequential data implemented with pytorch
Declutr
⭐
349
The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!
Hugnlp
⭐
345
HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊
Collie
⭐
337
Collaborative Training of Large Language Models in an Efficient Way
Openue
⭐
318
[EMNLP 2020] OpenUE: An Open Toolkit of Universal Extraction from Text
Nlp101
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314
NLP 101: a resource repository for Deep Learning and Natural Language Processing
Text Classification Models Pytorch
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309
Implementation of State-of-the-art Text Classification Models in Pytorch
Pixel
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306
Research code for pixel-based encoders of language (PIXEL)
Matchzoo Py
⭐
305
Facilitating the design, comparison and sharing of deep text matching models.
Cliport
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297
CLIPort: What and Where Pathways for Robotic Manipulation
Adaseq
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295
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
Transfer Nlp
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281
NLP library designed for reproducible experimentation management
Fastt5
⭐
280
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
Zshot
⭐
278
Zero and Few shot named entity & relationships recognition
Quick Nlp
⭐
275
Pytorch NLP library based on FastAI
Simple Effective Text Matching Pytorch
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271
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".
Squirrel Core
⭐
271
A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰
Transformers Bloom Inference
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271
Fast Inference Solutions for BLOOM
How To Use Transformers
⭐
271
Transformers 库快速入门教程
Multi Task Nlp
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269
multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.
Text2text
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268
Text2Text: Crosslingual NLP/G toolkit
Extreme Bert
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263
ExtremeBERT is a toolkit that accelerates the pretraining of customized language models on customized datasets, described in the paper “ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT”.
Hscrf Pytorch
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261
ACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
Sentimentanalysis
⭐
260
Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.
Rlhf
⭐
257
Implementation of Chinese ChatGPT
Textclassification
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255
Pytorch + NLP, 一份友好的项目实践仓库
Pytorch_graph Rel
⭐
255
A PyTorch implementation of GraphRel
Omnievent
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254
A comprehensive, unified and modular event extraction toolkit.
Pert
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249
PERT: Pre-training BERT with Permuted Language Model
Electra_pytorch
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246
Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)
Jack
⭐
246
Jack the Reader
Mead Baseline
⭐
245
Deep-Learning Model Exploration and Development for NLP
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