Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
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Updated
Jun 11, 2024 - Python
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
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
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
Lightweight framework for data-loading with PyTorch and harvesting the power of (PyTorch) lightning
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
Time series forecasting with PyTorch
so-vits-svc fork with realtime support, improved interface and more features.
Pytorch & Lightning based framework for research and ml-pipeline automation.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
SUPIR aims at developing Practical Algorithms for Photo-Realistic Image Restoration In the Wild
Official PyTorch implementation of the ICML 2024 paper "Hyperbolic Active Learning for Semantic Segmentation under Domain Shift"
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…
Library for metric learning pipelines and models.
Chess engine implamented in Pytorch with Qt5 frontend ⭐
cardiAc ultrasound Segmentation & Color-dopplEr dealiasiNg Toolbox (ASCENT)
Time-series models for learning wavefront propagation with 3x3 metasurface dataset
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