A pedagogical study and analysis of the results from "Deep Ensembles: A Loss Landscape Perspective".

resVAE-ensemble: feature identification in single-cell data

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

[ICML 2024] Boundary Exploration for Bayesian Optimization With Unknown Physical Constraints

early detection method for parkinson's disease using deep ensemble learning on MRI dataset

Full-Reference Image Quality Assessment models based on ensemble of gradient boosting

An Ensemble Deep Learning Model to Classify Scoliosis and Healthy Subjects Based on Non-invasive Rasterstereography Analysis

[ICLR 2023] Deep Ranking Ensembles for Hyperparameter Optimization

PyTorch implementation of Probabilistic MIMO U-Net

The best solution of the Weather Prediction track in the Yandex Shifts challenge

Dataset and code for "Uncertainty-Informed Deep Transfer Learning of PFAS Toxicity"

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.

Simple but high-performing method for learning a policy of test-time augmentation

[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.