artificial-self-AMLD-2020 VS bert-sklearn

Compare artificial-self-AMLD-2020 vs bert-sklearn and see what are their differences.

artificial-self-AMLD-2020

Workshop material for the AMLD 2020 workshop on "Meet your Artificial Self: Generate text that sounds like you" (by mar-muel)
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artificial-self-AMLD-2020 bert-sklearn
1 1
80 293
- -
0.0 0.0
11 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License Apache License 2.0
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artificial-self-AMLD-2020

Posts with mentions or reviews of artificial-self-AMLD-2020. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-07.
  • [N] Announcing the Applied Machine Learning Days 2021
    2 projects | /r/MachineLearning | 7 Jan 2021
    Meet your Artificial Self: Generate text that sounds like you, an NLP workshop where participants downloaded their chat logs (WhatsApp, Messenger, Telegram) then fine-tuned language models on them. Ultimately participants could train chatbots that sounded (somehow) like them. Slides and Colab notebooks: https://github.com/mar-muel/artificial-self-AMLD-2020

bert-sklearn

Posts with mentions or reviews of bert-sklearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-08.

What are some alternatives?

When comparing artificial-self-AMLD-2020 and bert-sklearn you can also consider the following projects:

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OpenAI-CLIP - Simple implementation of OpenAI CLIP model in PyTorch.

kruk - Ukrainian instruction-tuned language models and datasets

NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.

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ABSA_Project_4 - This project takes advantange of the parsing and part of speech tagging capabilites of Spacy's pipeline in order to extract aspect/opinion/sentiment triplets. Cluster aspects using unsupervised learning to process sentiment for large amazon review datasets.

tf-transformers - State of the art faster Transformer with Tensorflow 2.0 ( NLP, Computer Vision, Audio ).

TabularSemanticParsing - Translating natural language questions to a structured query language

German-NER-BERT - German NER on Legal Data using BERT

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.