hskim0584/branchy_net_cnn_Automatic_leftturn_sidemirror

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facebookresearch/LayerSkip

Code for "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding", ACL 2024

Language: Python - Size: 11.3 MB - Last synced at: about 21 hours ago - Pushed at: about 21 hours ago - Stars: 291 - Forks: 24

falcon-xu/early-exit-papers

A curated list of early exiting (LLM, CV, NLP, etc)

Size: 29.3 KB - Last synced at: 5 days ago - Pushed at: 8 months ago - Stars: 49 - Forks: 4

chanyikchong/Early-Exit-Neural-Network

This repository provides an implementation of Early Exit Neural Network (EENN) and provides a way to profile the processing time of the model.

Language: Python - Size: 213 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Shikha-code36/early-exit-cnn

A deep learning framework that implements Early Exit strategies in Convolutional Neural Networks (CNNs) using Deep Q-Learning (DQN). This project enhances computational efficiency by dynamically determining the optimal exit point in a neural network for image classification tasks on CIFAR-10.

Language: Jupyter Notebook - Size: 179 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

dywsjtu/apparate

Code for "Apparate: Rethinking Early Exits to Tame Latency-Throughput Tensions in ML Serving" [SOSP '24]

Language: Python - Size: 213 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 16 - Forks: 1

falcon-xu/LGViT

Official PyTorch implementation of "LGViT: Dynamic Early Exiting for Accelerating Vision Transformer" (ACM MM 2023)

Language: Python - Size: 82 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 5 - Forks: 2

fangvv/EdgeKE

Code for paper "EdgeKE: An On-Demand Deep Learning IoT System for Cognitive Big Data on Industrial Edge Devices"

Language: Python - Size: 49.8 KB - Last synced at: 3 months ago - Pushed at: almost 2 years ago - Stars: 9 - Forks: 3

IntelLabs/distiller 📦

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Language: Jupyter Notebook - Size: 40.5 MB - Last synced at: 11 months ago - Pushed at: about 2 years ago - Stars: 4,310 - Forks: 797

Sottix99/CNN_Early_exit

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.

Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

hpclab/learning-exit-strategies-ensembles

Official repository of Busolin et al., "Learning Early Exit Strategies for Additive Ranking Ensembles", ACM SIGIR 2021.

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 0

giulio-derasmo/Experimenting-with-modularity-in-deep-learning

The project aim to experiment implementing a modular architecture: an early-exit model and testing it using Tensorflow.

Language: Jupyter Notebook - Size: 2.23 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0