Some embedding layer implementation using ivy library

Last update: Feb 10, 2022

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Overview

ivy-manual-embeddings

Some embedding layer implementation using ivy library. Just for fun. It is based on NYCTaxiFare dataset from kaggle (cut down to 120,000 rows). Most of the feature extraction is similar to Jose Portilla's. Uses haversine formula to extract the feature of distance (km) from a given latitude and longtitude of pickup and dropoff locations. Initial loss graph with lr = 0.01 and 50 epochs:

Owner

Ishtiaq Hussain

GitHub Repository

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Some embedding layer implementation using ivy library

Related tags

Overview

ivy-manual-embeddings

Owner

Ishtiaq Hussain

Journalism AI – Quotes extraction for modular journalism

Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis (SV2TTS)

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

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Language-Agnostic SEntence Representations

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