NLU-engine-prototype-benchmarks VS bert-sklearn

Compare NLU-engine-prototype-benchmarks vs bert-sklearn and see what are their differences.

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. (by secretsauceai)
Nlu nlu-engine intent-classification entity-extraction conditional-random-fields logistic-regression random-forest Svm naive-bayes named-entity-recognition Natural Language Processing NLP Machine Learning tutorial-code scikit-learn Sklearn
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bert-sklearn

a sklearn wrapper for Google's BERT model (by charles9n)
NLP Natural Language Processing transfer-learning Pytorch language-model scikit-learn Bert Ner named-entity-recognition conll-2003
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NLU-engine-prototype-benchmarks bert-sklearn
1 1
5 293
- -
2.6 0.0
about 1 year ago over 1 year ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 Apache License 2.0
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NLU-engine-prototype-benchmarks

Posts with mentions or reviews of NLU-engine-prototype-benchmarks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-24.
  • Make your own custom wakeword and other FOSS voice assistant solutions
    16 projects | /r/selfhosted | 24 Feb 2022
    This will be the next project we focus on. We will benchmark current solutions, improving general data sets, and publish information to help everyone improve upon their current NLU-NLG use cases. All of this is still a heavy work in progress. * NLU engine prototype benchmark and examples * Snips data set converter

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 NLU-engine-prototype-benchmarks and bert-sklearn you can also consider the following projects:

wakeword-data-collector - A prototype CLI in Python where a user can collect all of the recordings needed to produce a wakeword

bert - TensorFlow code and pre-trained models for BERT

precise-wakeword-model-maker - Automated, end-to-end wakeword model maker using the Precise Wakeword Engine

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

secret_sauce_ai - Secret Sauce AI: a coordinated community of tech minded AI enthusiasts

kruk - Ukrainian instruction-tuned language models and datasets

Leon - 🧠 Leon is your open-source personal assistant.

fake-news - Building a fake news detector from initial ideation to model deployment

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)

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.

DeepSpeech - DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

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

NLU-engine-prototype-benchmarks vs wakeword-data-collector bert-sklearn vs bert NLU-engine-prototype-benchmarks vs precise-wakeword-model-maker bert-sklearn vs OpenAI-CLIP NLU-engine-prototype-benchmarks vs secret_sauce_ai bert-sklearn vs kruk NLU-engine-prototype-benchmarks vs Leon bert-sklearn vs fake-news NLU-engine-prototype-benchmarks vs indonlu bert-sklearn vs ABSA_Project_4 NLU-engine-prototype-benchmarks vs DeepSpeech bert-sklearn vs tf-transformers