bart-base-jax
JAX implementation of the bart-base model (by ayaka14732)
TrAVis
TrAVis: Visualise BERT attention in your browser (by ayaka14732)
| bart-base-jax | TrAVis | |
|---|---|---|
| 1 | 1 | |
| 30 | 56 | |
| - | - | |
| 1.4 | 10.0 | |
| about 2 years ago | about 2 years ago | |
| Python | Python | |
| - | - |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
bart-base-jax
Posts with mentions or reviews of bart-base-jax.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-21.
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How we created an in-browser BERT attention visualiser without a server - TrAVis: Transformer Attention Visualiser
Firstly, we implemented the BART model from scratch using JAX. We chose JAX because it is an amazing deep learning framework that enables us to write clear source code, and it can be easily converted to NumPy, which can be executed in-browser. We chose the #BART model because it is a complete encoder-decoder model, so it can be easily adapted to other models, such as BERT, by simply taking a subset of the source code.
TrAVis
Posts with mentions or reviews of TrAVis.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-21.
What are some alternatives?
When comparing bart-base-jax and TrAVis you can also consider the following projects:
NLP-Model-for-Corpus-Similarity - A NLP algorithm I developed to determine the similarity or relation between two documents/Wikipedia articles. Inspired by the cosine similarity algorithm and built from WordNet.
siamese-nn-semantic-text-similarity - A repository containing comprehensive Neural Networks based PyTorch implementations for the semantic text similarity task, including architectures such as: Siamese LSTM Siamese BiLSTM with Attention Siamese Transformer Siamese BERT.
word-piece-tokenizer - A Lightweight Word Piece Tokenizer
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
bertviz - BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)