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React-based project allows users to interact with several Open-Source Transformers from HuggingFace via the SDK. The dashboard-like GUI consists of several widgets that allow users to see the probability distribution of next token after softmax() in decoders, difference in between masked and full self-attention, and embedding visualizations

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FIUPanther-JMolto98/NeuroGlimpse

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backend
backend
 
 
bertviz
bertviz
 
 
frontend
frontend
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
GPT2_script.py
GPT2_script.py
 
 
H_Visualization.py
H_Visualization.py
 
 
M_Visualization.py.py
M_Visualization.py.py
 
 
N_Visualization.py
N_Visualization.py
 
 
NeuroGlimpse Attention Heatmap GIF.gif
NeuroGlimpse Attention Heatmap GIF.gif
 
 
NeuroGlimpse Embedding Arithmetic GIF.gif
NeuroGlimpse Embedding Arithmetic GIF.gif
 
 
NeuroGlimpse Embedding Distance GIF.gif
NeuroGlimpse Embedding Distance GIF.gif
 
 
NeuroGlimpse OutputPD GIF.gif
NeuroGlimpse OutputPD GIF.gif
 
 
README.md
README.md
 
 
head_view.html
head_view.html
 
 
model_view.html
model_view.html
 
 
neuron_view.html
neuron_view.html
 
 
package.json
package.json
 
 

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(CAP5602) FINAL PROJECT

NeuroGlimpse

Output Token Probability Distribution Widget 📊

Attention Heatmap per Head Widget 🔥

Embedding Distance Visualization Widget 🗺️

Embedding Arithmetic Widget 🧮

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React-based project allows users to interact with several Open-Source Transformers from HuggingFace via the SDK. The dashboard-like GUI consists of several widgets that allow users to see the probability distribution of next token after softmax() in decoders, difference in between masked and full self-attention, and embedding visualizations

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react python flask website machine-learning transformers artificial-intelligence cosine-similarity attention-mechanism encoder-decoder embeddings-word2vec masked-autoencoder huggingface-transformers

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