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

Structural Constraints on Information Content in Human Brain States

Structural Constraints on Information Content in Human Brain States Code accompanying the paper "The information content of brain states is explained

3 Sep 07, 2022

Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo

Web predicts stock prices using Long - Short Term Memory algorithm Give me some start please!!! User interface image: Choose: DayBegin, DayEnd, Stock

8 Nov 11, 2022

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation The code repository for "Audio-Visual Generalized Few-Shot Learning with

3 Jun 27, 2022

PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

PyTorch implementation of Convolutional Neural Fabrics arxiv:1606.02492 There are some minor differences: The raw image is first convolved, to obtain

25 Dec 22, 2021

Security evaluation module with onnx, pytorch, and SecML.

🚀 🐼 🔥 PandaVision Integrate and automate security evaluations with onnx, pytorch, and SecML! Installation Starting the server without Docker If you

11 Apr 12, 2022

MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python

Digital Image Processing Python MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python TO-DO: Refactor scripts, curren

24 Oct 16, 2022

Distance correlation and related E-statistics in Python

dcor dcor: distance correlation and related E-statistics in Python. E-statistics are functions of distances between statistical observations in metric

108 Dec 27, 2022

Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)

57 Jan 01, 2023

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

FMEN Lowest memory consumption and second shortest runtime in NTIRE 2022 on Efficient Super-Resolution. Our paper: Fast and Memory-Efficient Network T

33 Dec 01, 2022

Dist2Dec: A Simplicial Neural Network for Homology Localization

6 Jun 12, 2022

Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation

Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation Experiment Setting: CIFAR10 (downloaded and saved in ./DATA

38 Dec 27, 2022

Code for "Unsupervised State Representation Learning in Atari"

Unsupervised State Representation Learning in Atari Ankesh Anand*, Evan Racah*, Sherjil Ozair*, Yoshua Bengio, Marc-Alexandre Côté, R Devon Hjelm This

217 Jan 03, 2023

Tensorflow implementation for Self-supervised Graph Learning for Recommendation

If the compilation is successful, the evaluator of cpp implementation will be called automatically. Otherwise, the evaluator of python implementation will be called.

152 Jan 07, 2023

Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.

285 Jan 04, 2023

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

Structural Constraints on Information Content in Human Brain States

Project dự đoán giá cổ phiếu bằng thuật toán LSTM gồm: code train và code demo

Audio-Visual Generalized Few-Shot Learning with Prototype-Based Co-Adaptation

PyTorch implementation of Convolutional Neural Fabrics http://arxiv.org/abs/1606.02492

Security evaluation module with onnx, pytorch, and SecML.

MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python

Distance correlation and related E-statistics in Python

Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)

Lowest memory consumption and second shortest runtime in NTIRE 2022 challenge on Efficient Super-Resolution

Dist2Dec: A Simplicial Neural Network for Homology Localization

Using Self-Supervised Pretext Tasks for Active Learning - Official Pytorch Implementation

Code for "Unsupervised State Representation Learning in Atari"

Tensorflow implementation for Self-supervised Graph Learning for Recommendation

Implementation of the ivis algorithm as described in the paper Structure-preserving visualisation of high dimensional single-cell datasets.

《LXMERT: Learning Cross-Modality Encoder Representations from Transformers》(EMNLP 2020)

A faster pytorch implementation of faster r-cnn

ByteTrack(Multi-Object Tracking by Associating Every Detection Box)のPythonでのONNX推論サンプル

A benchmark framework for Tensorflow

A PyTorch Implementation of FaceBoxes

High-performance moving least squares material point method (MLS-MPM) solver.