analysing Model Pruning and Unit Pruning on a large dense MNIST network
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Updated
Mar 25, 2023 - Jupyter Notebook
analysing Model Pruning and Unit Pruning on a large dense MNIST network
Code for CPAL-2024 paper "Continual Learning with Dynamic Sparse Training: Exploring Algorithms for Effective Model Updates"
2DecGMCA open-source code (2D adaptation of SDecGMCA)
DsProfiling – Dataset Profiling
This repository is out of date. See instead: https://github.com/paigejo/ELK
SDecGMCA open-source code
Public code of the ML course
Research on improving the efficiency of finding lottery tickets.
Fema: flexible evolutionary multi-faceted analysis for dynamic behavioral pattern discovery
My solution code for assignments in Machine Learning Crash Course (MLCC) by Google Developers.
Simple world models lead to good abstractions, Google Cerebra internship 2020/master thesis at EPFL LCN 2021 ⬛◼️▪️🔦
Use a meta-network to learn the importance and correlation of neural network weights
Multiscale Image Restoration for fluorescence microscopy
Sparseout: Controlling Sparsity in Deep Networks
[RepL4NLP(2021)] Hierarchical Sparse Variation Autoencoder (HSVAE)
Sliding Filter for AWGN Denoising
This repository provides several R scripts with simulations and applications to real data related to Principal Component Analysis (PCA) and two extensions: Sparse PCA (SPCA) and Dynamic PCA (DPCA)
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