This provides the R code and data to replicate results in "The USS Trustee’s risky strategy"

Last update: Oct 30, 2021

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Deep Learning USSBriefs2021

Overview

USSBriefs2021

This provides the R code and data to replicate results in "The USS Trustee’s risky strategy" by Neil M Davies, Jackie Grant and Chin Yang Shapland.

Description

USSBriefs2021_Figures_NMD_JG_CYS.R is code to replicate the results from our paper.

Jorda2019_total_returns.R is code to estimate the mean and standard deviation of the equity returns from Jorda 2017.

USSBriefs2021_SM is code to simulate figure in the Supplementary material.

In the Data folder it contains the M&S and USS data to used to generate the results.

Owner

Senior Research Associate at MRC Integrative Epidemiology Unit at the University of Bristol

GitHub Repository

Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)

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Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh

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This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

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A very simple tool to rewrite parameters such as attributes and constants for OPs in ONNX models. Simple Attribute and Constant Modifier for ONNX.

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Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021)

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[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

AMOS This repository contains the scripts for fine-tuning AMOS pretrained models on GLUE and SQuAD 2.0 benchmarks. Paper: Pretraining Text Encoders wi

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Luminaire is a python package that provides ML driven solutions for monitoring time series data.

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Visualize Camera's Pose Using Extrinsic Parameter by Plotting Pyramid Model on 3D Space

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[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

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The world's largest toxicity dataset.

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Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".

A Flow-based latent state generative model of neural population responses to natural images Code for "A Flow-based latent state generative model of ne

5 Aug 26, 2022

This provides the R code and data to replicate results in "The USS Trustee’s risky strategy"

Related tags

Overview

USSBriefs2021

Description

Owner

Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)

Given a 2D triangle mesh, we could randomly generate cloud points that fill in the triangle mesh

This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.

A very simple tool to rewrite parameters such as attributes and constants for OPs in ONNX models. Simple Attribute and Constant Modifier for ONNX.

Time should be taken seer-iously

Investigating Attention Mechanism in 3D Point Cloud Object Detection (arXiv 2021)

[ICLR 2022] Pretraining Text Encoders with Adversarial Mixture of Training Signal Generators

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Visualize Camera's Pose Using Extrinsic Parameter by Plotting Pyramid Model on 3D Space

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

The world's largest toxicity dataset.

Code for models used in Bashiri et al., "A Flow-based latent state generative model of neural population responses to natural images".

A library of multi-agent reinforcement learning components and systems

AI Based Smart Exam Proctoring Package

B-cos Networks: Attention is All we Need for Interpretability

The fundamental package for scientific computing with Python.

Code for "FGR: Frustum-Aware Geometric Reasoning for Weakly Supervised 3D Vehicle Detection", ICRA 2021

Kaggle G2Net Gravitational Wave Detection : 2nd place solution

A fast implementation of bss_eval metrics for blind source separation

Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method