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Search results for deep learning reproducible research
deep-learning
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reproducible-research
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29 search results found
Pytorch Vae
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5,292
A Collection of Variational Autoencoders (VAE) in PyTorch.
Fma
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1,773
FMA: A Dataset For Music Analysis
Reproducible Image Denoising State Of The Art
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1,759
Collection of popular and reproducible image denoising works.
Bayesian Neural Networks
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1,633
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Recsys2019_deeplearning_evaluation
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871
This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.
Disentangling Vae
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668
Experiments for understanding disentanglement in VAE latent representations
Pycil
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613
PyCIL: A Python Toolbox for Class-Incremental Learning
Sionna
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534
Sionna: An Open-Source Library for Next-Generation Physical Layer Research
Facil
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425
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
Steppy
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134
Lightweight, Python library for fast and reproducible experimentation 🔬
Lamda Pilot
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134
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
Enmf
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109
This is our implementation of ENMF: Efficient Neural Matrix Factorization (TOIS. 38, 2020). This also provides a fair evaluation of existing state-of-the-art recommendation models.
Zoo
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103
Reference implementations of popular Binarized Neural Networks
Oaprogression
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58
Multimodal Machine Learning-based Knee Osteoarthritis Progression Prediction from Plain Radiographs and Clinical Data
Dun
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52
Code for "Depth Uncertainty in Neural Networks" (https://arxiv.org/abs/2006.08437)
Moai
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47
moai is a PyTorch-based AI Model Development Kit (MDK) created to improve data-driven model workflows, design and reproducibility.
Open Solution Googleai Object Detection
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46
Open solution to the Google AI Object Detection Challenge 🍁
Polyaxon Quick Start
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29
A quick start project for polyaxon
Braph 2
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24
BRAPH 2.0 is a comprehensive software package for the analysis and visualization of brain connectivity data, offering flexible customization, rich visualization capabilities, and a platform for collaboration in neuroscience research.
Us Rawdata Sda
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23
A Deep Learning Approach to Ultrasound Image Recovery
Reproducibilty Challenge Ecanet
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22
Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.
Diff Rt
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19
This repository contains code to reproduce some of the results from the paper Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling using the Sionna™ link-level simulator.
Kervolution
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19
Kervolution implementation using TF2.0
Ner Lstm Cnn Pytorch
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18
End-to-end-Sequence-Labeling-via-Bi-directional-LS
Reproducible Video Denoising State Of The Art
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15
Collection of popular and reproducible video denoising works.
Exprec
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12
Exprec records your experiments so you can compare different runs and easily reproduce results
Rcnn
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12
Recurrent Covolutional Neual Network implementation in TF2.0
Cebed
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8
Data-Driven Channel Estimation Test Bed
Nnu Net Bpr Annotations
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6
Code accompanying this dataset: Krishnaswamy, D., Bontempi, D., Clunie, D., Aerts, H. & Fedorov, A. AI-derived annotations for the NLST and NSCLC-Radiomics computed tomography imaging collections. (2022). doi:10.5281/zenodo.7473970
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1-29 of 29 search results
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