Config-based framework for organized and reproducible deep learning. MONAI Bundle + PyTorch Lightning.
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Updated
Jun 13, 2024 - Python
Config-based framework for organized and reproducible deep learning. MONAI Bundle + PyTorch Lightning.
SAM with pytorch-lightning's Callback API
Pytorch & Lightning based framework for research and ml-pipeline automation.
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
Library for metric learning pipelines and models.
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
DelightfulTTS + UnivNet or HifiGAN
This is a repository of neural full-rank spatial covariance analysis with speaker activity (neural FCASA).
High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected a…
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
(Arxiv 2024) Official implementation of Paper ''DreamView: Injecting View-specific Text Guidance into Text-to-3D Generation''
A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.
PyTorch-IE: State-of-the-art Information Extraction in PyTorch
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
Implementation of DeepMind's Deep Generative Model of Radar (DGMR) https://arxiv.org/abs/2104.00954
ODEON is a task-agnostic framework for deep learning applied to remote sensing
A standard framework for modelling Deep Learning Models for tabular data
Library for automatic retraining and continual learning
Lightweight framework for data-loading with PyTorch and harvesting the power of (PyTorch) lightning
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