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Search results for deep learning roberta
deep-learning
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roberta
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16 search results found
Lora
⭐
7,814
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Rust Bert
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2,300
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Farm
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1,706
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Deberta
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1,673
The implementation of DeBERTa
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/
Phobert
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593
PhoBERT: Pre-trained language models for Vietnamese (EMNLP-2020 Findings)
Happy Transformer
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449
Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.
Embedding As Service
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182
One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques
Code Bert
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48
Automatically check mismatch between code and comments using AI and ML
Erc
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40
Emotion recognition in conversation
Bert_for_longer_texts
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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.
Fake News Classification Model
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16
✨ Fake news classification using source adaptive framework - BE Project 🎓The repository contains Detailed Documentation of the project, Classification pipeline, Architecture, System Interface Design, Tech stack used.
Klue Rbert
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14
↔️ Utilizing RBERT model structure for KLUE Relation Extraction task
Zeroe
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9
From Hero to Zéroe: A Benchmark of Low-Level Adversarial Attacks
Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning
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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
Mmm Mcqa
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6
Source code for our "MMM" paper at AAAI 2020
Tweet Sentiment Extraction
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5
(Silver medal - 60th place - Top 3%) Repository for the "Tweet Sentiment Extraction" Kaggle competition.
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1-16 of 16 search results
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