resVAE-ensemble: feature identification in single-cell data
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Updated
Feb 15, 2023 - Jupyter Notebook
resVAE-ensemble: feature identification in single-cell data
[ICML 2024] Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints
A pedagogical study and analysis of the results from "Deep Ensembles: A Loss Landscape Perspective".
Full-Reference Image Quality Assessment models based on ensemble of gradient boosting
The best solution of the Weather Prediction track in the Yandex Shifts challenge
Ransomware analysis using DEL with jet-like architecture comprising two CNN wings, a sparse AE tail, a non-linear PCA to produce a diverse feature space, and an MLP nose
[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization
Simple but high-performing method for learning a policy of test-time augmentation
PyTorch implementation of Probabilistic MIMO U-Net
Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"
An Ensemble Deep Learning Model to Classify Scoliosis and Healthy Subjects Based on Non-invasive Rasterstereography Analysis
early detection method for parkinson's disease using deep ensemble learning on MRI dataset
Uncertainty Estimation Using Deep Neural Network and Gradient Boosting Methods
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.
[TIP 2022] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.
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