Source code for the paper "Periodic Traveling Waves in an Integro-Difference Equation With Non-Monotonic Growth and Strong Allee Effect" by Michael Nestor and Bingtuan Li.
In terminal:
git clone https://github.com/mdnestor/idesim.git
cd idesim
The module requires numpy and matplotlib. The primary class can be imported as follows:
from idesim import IDESim
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Provably Rare Gem Miner just another random project by yoyoismee.eth useful link main site market contract useful thing you should know read contract
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neural waveshaping synthesis real-time neural audio synthesis in the waveform domain paper • website • colab • audio by Ben Hayes, Charalampos Saitis,
BRATS 2021 Solution For Segmentation Task This repo contains the supported pytorch code and configuration files to reproduce 3D medical image segmenta
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TalkingHead-1KH Dataset TalkingHead-1KH is a talking-head dataset consisting of YouTube videos, originally created as a benchmark for face-vid2vid: On
MMDetection_Lite 基于mmdetection 实现一些轻量级检测模型，安装方式和mmdeteciton相同 voc0712 voc 0712训练 voc2007测试 coco预训练 thundernet_voc_shufflenetv2_1.5 input shape mAP 320
BaggageAI Internship Task Problem Statement: You are given two sets of images:- background and threat objects. Background images are the background x-
Propose-Reduce VIS This repo contains the official implementation for the paper: Video Instance Segmentation with a Propose-Reduce Paradigm Huaijia Li
AirPollution Pollution Weather Prediction System: Smart Outdoor Pollution Monitoring and Prediction for Healthy Breathing and Living Publication Link:
Proximal Backpropagation Proximal Backpropagation (ProxProp) is a neural network training algorithm that takes implicit instead of explicit gradient s
Accompanying code for the paper Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.
NOTE: This is still being developed! Setup notes This document uses Jeff Sackmann's tennis data. You can obtain it as follows: git clone https://githu
To propose and implement a multi-class classification approach to disaster assessment from the given data set of post-earthquake satellite imagery.
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