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Ephrem 's Projects

alexa-end-to-end-slu icon alexa-end-to-end-slu

This setup allows to train end-to-end neural models for spoken language understanding (SLU).

amharic_spell_corrector icon amharic_spell_corrector

Amharic Spelling Corrector based on SymSpell - Spelling corrector which is 1 million times faster through Symmetric Delete spelling correction algorithm

app-ideas icon app-ideas

A Collection of application ideas which can be used to improve your coding skills.

app_deep_learning icon app_deep_learning

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis

captum icon captum

Model interpretability and understanding for PyTorch

ds1 icon ds1

Distributed Systems 1

e2e-kws icon e2e-kws

End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM

giskard icon giskard

🐢 The testing framework for ML models, from tabular to LLMs

globxplain4tsc icon globxplain4tsc

A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers

integrated-gradients icon integrated-gradients

Attributing predictions made by the Inception network using the Integrated Gradients method

java-websocket icon java-websocket

A barebones WebSocket client and server implementation written in 100% Java.

key_words_spotting icon key_words_spotting

implementation of "EFFICIENT KEYWORD SPOTTING USING DILATED CONVOLUTIONS AND GATING"

keyword-transformer icon keyword-transformer

Implementation of the paper "Keyword Transformer: A Self-Attention Model for Keyword Spotting"

kws icon kws

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

localxplain4tsc icon localxplain4tsc

Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives

lstm-human-activity-recognition icon lstm-human-activity-recognition

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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