Stars
A simple demo for multivariate time series classification using a Transformer encoder.
PGCOMP is Programa de Pós-graduação em Ciência da Computação da Universidade Federal da Bahia, Brasil.
Code to replicate the key results from Exploring the Limits of Out-of-Distribution Detection (https://arxiv.org/abs/2106.03004) by Stanislav Fort, Jie Ren, Balaji Lakshminarayanan, published at Neu…
21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Keras beit,caformer,CMT,CoAtNet,convnext,davit,dino,efficientdet,edgenext,efficientformer,efficientnet,eva,fasternet,fastervit,fastvit,flexivit,gcvit,ghostnet,gpvit,hornet,hiera,iformer,inceptionne…
A collection of sample scripts to customize Amazon SageMaker Notebook Instances using Lifecycle Configurations
High-quality implementations of standard and SOTA methods on a variety of tasks.
Visualizer for neural network, deep learning and machine learning models
Facial landmarks detection along with their applications (virtual makeup).
C++ implementation of several image contrast enhancement techniques.
A tutorial for setting up OpenCV 4.6.0 (and other 4.x.y version) for Android in Android Studio with Native Development Kit (NDK) support for C++ development.
Reliability diagrams visualize whether a classifier model needs calibration
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
A comprehensive collection of recent papers on graph deep learning
optimizing deep learning for ultra-small biomedical datasets
A simple way to calibrate your neural network.
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Code for uncertainty estimation in computer-aided diagnosis for MIDL 2019 submission.
PyTorch implementation of ICLR 2018 paper Learn To Pay Attention (and some modification)
Video discussing this curriculum:
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Code for "Uncertainty Estimation Using a Single Deep Deterministic Neural Network"
A curated list of awesome Deep Learning tutorials, projects and communities.