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Discover 14 open source projects
Showing 1-14 of 14 projects
AntixK/PyTorch-VAE
A collection of Variational Autoencoders (VAEs) implemented in PyTorch for deep learning research and applications.
IDSIA/sacred
Sacred is a tool to help configure, organize, log, and reproduce experiments for machine learning research.
mdeff/fma
A dataset for music analysis and research, with support for deep learning and reproducible research.
wenbihan/reproducible-image-denoising-state-of-the-art
A comprehensive collection of popular and reproducible image denoising techniques and implementations.
Cloud-CV/EvalAI
Open-source platform for evaluating state-of-the-art in AI and machine learning models and challenges.
clementchadebec/benchmark_VAE
A benchmark for evaluating different implementations of Variational Autoencoders (VAEs) in PyTorch.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of various Bayesian neural network techniques for approximate inference and uncertainty quantification.
InsightSoftwareConsortium/ITK
A C++ library for image analysis and processing in medical imaging.
NVlabs/sionna
An open-source library for research on communication systems, including 5G and 6G, with GPU acceleration and link-level simulation.
ropensci/drake
An R-focused pipeline toolkit for reproducibility and high-performance computing.
ddsjoberg/gtsummary
An R package that provides customizable and presentation-ready data summary and analytic result tables.
toshas/torch-fidelity
High-fidelity performance metrics for generative models in PyTorch
LAMDA-CL/PyCIL
A Python toolbox for class-incremental learning, a machine learning technique for training models on a continuous stream of data.
ropensci/targets
A declarative workflow management system for R that enables reproducible research and high-performance computing.
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