regularization topic

The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

TomographicImaging

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

tayebiarasteh

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse

zhangyikaii

[ICLR'23] Trainability Preserving Neural Pruning (PyTorch)

MingSun-Tse

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

BobbyWilt

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports re...

anishsingh20

Compute Convex (Bi)Clustering Solutions via Algorithmic Regularization

DataSlingers

Deep learning using CNN in tensorflow on Kaggle image dataset containing 87,900 different healthy and unhealthy crop leaves spanning 38 unique classes.

mayur7garg

An implementation of drophead regularization for pytorch transformers

Kirill-Kravtsov

Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear...

NikhilaThota