NLP-Model-for-Corpus-Similarity
bart-base-jax
NLP-Model-for-Corpus-Similarity | bart-base-jax | |
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1 | 1 | |
9 | 27 | |
- | - | |
0.0 | 1.4 | |
almost 4 years ago | about 1 year ago | |
Python | Python | |
MIT License | - |
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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.
NLP-Model-for-Corpus-Similarity
bart-base-jax
-
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.
What are some alternatives?
dtale - Visualizer for pandas data structures
word-piece-tokenizer - A Lightweight Word Piece Tokenizer
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers - aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
jax - Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
StringDistances.jl - String Distances in Julia
TrAVis - TrAVis: Visualise BERT attention in your browser
wordview - A Python package for Exploratory Data Analysis (EDA) for text-based data.
d3 - Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
bert - TensorFlow code and pre-trained models for BERT