There are 0 repository under early-exit topic.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
A curated list of early exiting
Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"
Official PyTorch implementation of "LGViT: Dynamic Early Exiting for Accelerating Vision Transformer" (ACM MM 2023)
Official repository of Busolin et al., "Learning Early Exit Strategies for Additive Ranking Ensembles", ACM SIGIR 2021.
C implementation of a SHA-1 cracker with various optimizations
The project aim to experiment implementing a modular architecture: an early-exit model and testing it using Tensorflow.
The aim of this work is to build a model capable of classifying diseases in corn leaves. The classes are four: Common Rust, Gray Leaf Spot, Blight, and Healthy. Three different CNN-based models are employed, with the introduction of early exit layers in the last one.
This repository is dedicated to self-learning about early exit papers, including relevant code and documentation.