ephrem-eth Goto Github PK
Name: Ephrem
Type: User
Location: Ireland
Name: Ephrem
Type: User
Location: Ireland
This setup allows to train end-to-end neural models for spoken language understanding (SLU).
Amharic English Machine Translation Corpus prepared through website crawelling and custom preprocessing.
Amharic Spelling Corrector based on SymSpell - Spelling corrector which is 1 million times faster through Symmetric Delete spelling correction algorithm
A Collection of application ideas which can be used to improve your coding skills.
T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis
A curated list of awesome machine learning interpretability resources.
Speech synthesis, voice conversion, self-supervised learning, music generation,Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling
Model interpretability and understanding for PyTorch
Programming project and Research project for CS583 - Prof. Bing Liu
Distributed Systems 1
End to End Automatic Speech Recognition on Librispeech: Pytorch implementation
E2E ASR experiments on Librispeech
End-to-End Keyword Spotting (E2E-KWS) using a character level LSTM
Config files for my GitHub profile.
🎨 My personal website
🐢 The testing framework for ML models, from tabular to LLMs
A Global Model-Agnostic Rule-Based XAI Method based on Parameterised Event Primitives for Time Series Classifiers
Attributing predictions made by the Inception network using the Integrated Gradients method
A barebones WebSocket client and server implementation written in 100% Java.
implementation of "EFFICIENT KEYWORD SPOTTING USING DILATED CONVOLUTIONS AND GATING"
Implementation of the paper "Keyword Transformer: A Self-Attention Model for Keyword Spotting"
An End-to-End Architecture for Keyword Spotting and Voice Activity Detection
Running Llama 2 and other Open-Source LLMs on CPU Inference Locally for Document Q&A
Interpreting Black-Box Time Series Classifiers using Parameterised Event Primitives
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
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.