Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
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Updated
Dec 28, 2022 - Python
Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
This repository facilitates the creation of Python wheel files (.whl) from the tiny-cuda-nn project to streamline the installation process on Google Colab.
Simple Implementation of Rotary Positional Embeddings (RoPE) and Sinusoidal Positional Embeddings in JAX
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