Paper Code：A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection
Overview
Self-supervised Label Augmentation via Input Transformations (ICML 2020)
Self-supervised Label Augmentation via Input Transformations Authors: Hankook Lee, Sung Ju Hwang, Jinwoo Shin (KAIST) Accepted to ICML 2020 Install de
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A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.
A repository built on the Flow software package to explore cyber-security attacks on intelligent transportation systems.
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Official repository for: Continuous Control With Ensemble DeepDeterministic Policy Gradients
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The dataset and source code for our paper: "Did You Ask a Good Question? A Cross-Domain Question IntentionClassification Benchmark for Text-to-SQL"
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Range Image-based LiDAR Localization for Autonomous Vehicles Using Mesh Maps
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Source code for CIKM 2021 paper for Relation-aware Heterogeneous Graph for User Profiling
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Doubly Robust Off-Policy Evaluation for Ranking Policies under the Cascade Behavior Model
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In the case of your data having only 1 channel while want to use timm models
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Learning to Simulate Dynamic Environments with GameGAN (CVPR 2020)
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LibFewShot: A Comprehensive Library for Few-shot Learning.
LibFewShot Make few-shot learning easy. Supported Methods Meta MAML(ICML'17) ANIL(ICLR'20) R2D2(ICLR'19) Versa(NeurIPS'18) LEO(ICLR'19) MTL(CVPR'19) M
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Example-custom-ml-block-keras - Custom Keras ML block example for Edge Impulse
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Implementation of paper: "Image Super-Resolution Using Dense Skip Connections" in PyTorch
SRDenseNet-pytorch Implementation of paper: "Image Super-Resolution Using Dense Skip Connections" in PyTorch (http://openaccess.thecvf.com/content_ICC
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The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Hailo Model Zoo The Hailo Model Zoo provides pre-trained models for high-performance deep learning applications. Using the Hailo Model Zoo you can mea
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Official Implementation for Fast Training of Neural Lumigraph Representations using Meta Learning.
Fast Training of Neural Lumigraph Representations using Meta Learning Project Page | Paper | Data Alexander W. Bergman, Petr Kellnhofer, Gordon Wetzst
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Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees"
Companion code for "Bayesian logistic regression for online recalibration and revision of risk prediction models with performance guarantees" Installa
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Tool for working with Y-chromosome data from YFull and FTDNA
ycomp ycomp is a tool for working with Y-chromosome data from YFull and FTDNA. Run ycomp -h for information on how to use the program. Installation Th
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Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)
Pixel Transposed Convolutional Networks Created by Hongyang Gao, Hao Yuan, Zhengyang Wang and Shuiwang Ji at Texas A&M University. Introduction Pixel
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This repository consists of Blender python scripts and corresponding assets to generate variants of the CANDLE dataset
candle-simulator This repository consists of Blender python scripts and corresponding assets to generate variants of the IITH-CANDLE dataset. The rend
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Creating predictive checklists from data using integer programming.
Learning Optimal Predictive Checklists A Python package to learn simple predictive checklists from data subject to customizable constraints. For more
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Let's Git - Versionsverwaltung & Open Source Hausaufgabe
Let's Git - Versionsverwaltung & Open Source Hausaufgabe Herzlich Willkommen zu dieser Hausaufgabe für unseren MOOC: Let's Git! Wir hoffen, dass Du vi
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