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A PyTorch implementation of EfficientNet
MoViNets PyTorch implementation: Mobile Video Networks for Efficient Video Recognition;
Train and test video classifier models with PyTorchVideo
Refine high-quality datasets and visual AI models
A deep learning library for video understanding research.
Complex Hierarchical Models, Gibbs Sampling, Metropolis Hasting, 2 Step Gibbs with Missing Data Imputation, Hidden Variables, Multivariate Distributions, Probit Model, Logit Model, Inverse Wishart …
Statistical Data Analysis - MLE estimation of Lognormal and Exponential Distribution parameters in a Competing Risks Model. Simulation on R.
sklearn machine learning models applied to the UCI Heart Disease data set.
Predicting whether a person is suffering from heart disease or not
sklearn machine learning models applied to the UCI Heart Disease data set.
🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
Machine learning and optimization algorithms from scratch + visualization
A university quantum algorithms/computation course supplement based on Qiskit
A repository of projects that Qiskit Advocates are actively working on. This project has been evolved into Qiskit Advocate Mentorship Program (QAMP) and the repo is archived. See QAMP Spring 21 for…
A collection of Jupyter notebooks showing how to use the Qiskit SDK