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Top 20 Jupyter Notebook Bert Projects
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Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
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Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
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FinBERT
A Pretrained BERT Model for Financial Communications. https://arxiv.org/abs/2006.08097 (by yya518)
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
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indonlu
The first-ever vast natural language processing benchmark for Indonesian Language. We provide multiple downstream tasks, pre-trained IndoBERT models, and a starter code! (AACL-IJCNLP 2020)
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adaptnlp
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
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ganbert-pytorch
Enhancing the BERT training with Semi-supervised Generative Adversarial Networks in Pytorch/HuggingFace
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tf-transformers
State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).
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ToLD-Br
Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Most of this tutorial is based on Hugging Face course about Transformers and on Niels Rogge's Transformers tutorials: make sure to check their work and give them a star on GitHub, if you please ❤️
Project mention: Simple Implementation of OpenAI Clip (Tutorial) | news.ycombinator.com | 2024-02-21
The dataset is based on ToLD-Br, which is a huge dataset of tweets (or is it Xeets now?) that contains some additional info such as a classification if the text contains homophobia, obscenity, insults, racism, misogyny and xenophobia. The dataset for the competition, however, is a simple toxicity column.
Jupyter Notebook Bert related posts
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How to annotate compound words to build NER models?
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[discussion] Anybody Working with VITMAE?
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[Discussion] Information Extraction with LayoutLMv2
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Which lightweight BERT model would you recommend with TensorFlow.js on React Native?
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[P] German NER on Legal Data using BERT
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[P] German NER on Legal Data using BERT
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GAN-BERT to resolve class imbalance; error in the / my code. Any ideas how to resolve this?
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A note from our sponsor - InfluxDB
www.influxdata.com | 10 May 2024
Index
What are some of the best open-source Bert projects in Jupyter Notebook? This list will help you:
Project | Stars | |
---|---|---|
1 | nlp-tutorial | 13,735 |
2 | Transformers-Tutorials | 7,875 |
3 | pytorch-sentiment-analysis | 4,236 |
4 | adapters | 2,407 |
5 | Transformer-Explainability | 1,668 |
6 | FinBERT | 524 |
7 | OpenAI-CLIP | 520 |
8 | indonlu | 490 |
9 | adaptnlp | 414 |
10 | bert-sklearn | 293 |
11 | tf-metal-experiments | 265 |
12 | HugsVision | 188 |
13 | ganbert-pytorch | 88 |
14 | tf-transformers | 84 |
15 | ToLD-Br | 34 |
16 | BERT-for-Mobile | 29 |
17 | German-NER-BERT | 7 |
18 | emotion-classifier | 6 |
19 | will-sh3-b33 | 3 |
20 | netbert | 3 |
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