SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

Last update: Dec 16, 2021

Related tags

Overview

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

This repository is the official implementation of "SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning."

Installation

Please run pip install -e . in the top level directory for installation

Running the model

Please see the examples folder for notebooks on various examples.

Owner

Bobby Shi

PhD student at the University of Texas

GitHub Repository

Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)

Learning-Action-Completeness-from-Points Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal A

67 Jan 03, 2023

Hyperbolic Procrustes Analysis Using Riemannian Geometry

Hyperbolic Procrustes Analysis Using Riemannian Geometry The code in this repository creates the figures presented in this article: Please notice that

2 Jan 08, 2023

Skipgram Negative Sampling in PyTorch

PyTorch SGNS Word2Vec's SkipGramNegativeSampling in Python. Yet another but quite general negative sampling loss implemented in PyTorch. It can be use

287 Dec 14, 2022

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

4.7k Dec 31, 2022

All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Data Structures and Algorithms Python INDEX 1. Resources - Books Data Structures - Reema Thareja competitiveCoding Big-O Cheat Sheet DAA Syllabus Inte

129 Dec 15, 2022

Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

PyTorch implementation of BERT and PALs Introduction Work by Asa Cooper Stickland and Iain Murray, University of Edinburgh. Code for BERT and PALs; mo

70 Dec 29, 2022

This is a Image aid classification software based on python TK library development

This is a Image aid classification software based on python TK library development.

1 Jan 17, 2022

Rocket-recycling with Reinforcement Learning

Rocket-recycling with Reinforcement Learning Developed by: Zhengxia Zou I have long been fascinated by the recovery process of SpaceX rockets. In this

202 Jan 03, 2023

DI-HPC is an acceleration operator component for general algorithm modules in reinforcement learning algorithms

DI-HPC: Decision Intelligence - High Performance Computation DI-HPC is an acceleration operator component for general algorithm modules in reinforceme

185 Dec 29, 2022

Explainable Zero-Shot Topic Extraction

Zero-Shot Topic Extraction with Common-Sense Knowledge Graph This repository contains the code for reproducing the results reported in the paper "Expl

56 Dec 14, 2022

Image-Stitching - Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm

About The Project Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm (Random Sample Consensus). Author: Andreas P

3 Jan 03, 2023

Personal project about genus-0 meshes, spherical harmonics and a cow

How to transform a cow into spherical harmonics ? Spot the cow, from Keenan Crane's blog Context In the field of Deep Learning, training on images or

3 Aug 22, 2022

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

Using fully convolutional networks for semantic segmentation (Shelhamer et al.) with caffe for the cityscapes dataset How to get started Download the

27 Jun 06, 2022

The object detection pipeline is based on Ultralytics YOLOv5

AYOLOv2 The main goal of this repository is to rewrite the object detection pipeline with a better code structure for better portability and adaptabil

153 Dec 22, 2022

Medical image analysis framework merging ANTsPy and deep learning

ANTsPyNet A collection of deep learning architectures and applications ported to the python language and tools for basic medical image processing. Bas

118 Dec 24, 2022

Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"

corn-ordinal-neuralnet This repository contains the orginal model code and experiment logs for the paper "Deep Neural Networks for Rank Consistent Ord

14 Dec 27, 2022

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

Related tags

Overview

SHRIMP: Sparser Random Feature Models via Iterative Magnitude Pruning

Installation

Running the model

Owner

Bobby Shi

Official Pytorch Implementation of 'Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization' (ICCV-21 Oral)

Hyperbolic Procrustes Analysis Using Riemannian Geometry

Skipgram Negative Sampling in PyTorch

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

All the essential resources and template code needed to understand and practice data structures and algorithms in python with few small projects to demonstrate their practical application.

Pytorch implementation of Bert and Pals: Projected Attention Layers for Efficient Adaptation in Multi-Task Learning

This is a Image aid classification software based on python TK library development

Rocket-recycling with Reinforcement Learning

DI-HPC is an acceleration operator component for general algorithm modules in reinforcement learning algorithms

Explainable Zero-Shot Topic Extraction

Image-Stitching - Panorama composition using SIFT Features and a custom implementaion of RANSAC algorithm

Personal project about genus-0 meshes, spherical harmonics and a cow

Using fully convolutional networks for semantic segmentation with caffe for the cityscapes dataset

The object detection pipeline is based on Ultralytics YOLOv5

Medical image analysis framework merging ANTsPy and deep learning

Code and experiments for "Deep Neural Networks for Rank Consistent Ordinal Regression based on Conditional Probabilities"

Cross-media Structured Common Space for Multimedia Event Extraction (ACL2020)

Reimplement of SimSwap training code

Minimisation of a negative log likelihood fit to extract the lifetime of the D^0 meson (MNLL2ELDM)

Towards Ultra-Resolution Neural Style Transfer via Thumbnail Instance Normalization