An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
翻译 - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
#计算机科学#Embedded and mobile deep learning research resources
#计算机科学#Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf
#计算机科学#[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
Tools and libraries to run neural networks in Minecraft ⛏️
This repository contains code to replicate the experiments given in NeurIPS 2019 paper "One ticket to win them all: generalizing lottery ticket initializations across datasets and optimizers"
#计算机科学#Hyperspectral CNN compression and band selection
[ICLR 2022] "Audio Lottery: Speech Recognition Made Ultra-Lightweight, Noise-Robust, and Transferable", by Shaojin Ding, Tianlong Chen, Zhangyang Wang
Official PyTorch implementation of "LayerMerge: Neural Network Depth Compression through Layer Pruning and Merging" (ICML'24)
#计算机科学#[ICLR 2023] Pruning Deep Neural Networks from a Sparsity Perspective
#计算机科学#Code for testing DCT plus Sparse (DCTpS) networks
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)
#计算机科学#Code for our WACV 2021 paper "Exploiting the Redundancy in Convolutional Filters for Parameter Reduction"
#计算机科学#Compact representations of convolutional neural networks via weight pruning and quantization
Implementation of various neural network pruing methods in pytorch.
#计算机科学#Compressed CNNs for airplane classification in satellite images (APoZ-based parameter pruning, INT8 weight quantization)
#计算机科学#Image classification using compressed deep neural network ported on resource-constrained platforms.