pytorch-lightning
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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…
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Jun 3, 2024 - Python
Pytorch & Lightning based framework for research and ml-pipeline automation.
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Jun 3, 2024 - Python
A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
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Jun 2, 2024 - Python
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
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Jun 2, 2024 - Python
Online Handwritten Text Recognition (HTR) system implemented with PyTorch. Based on https://doi.org/10.1007/s10032-020-00350-4.
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Jun 2, 2024 - Jupyter Notebook
P2P Federated Learning (p2pfl) is a decentralized federated learning library, it allows creating basic federated learning systems on p2p networks using gossip protocols.
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Jun 2, 2024 - Python
Examines different pytorch related topics.
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Jun 2, 2024 - Jupyter Notebook
A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)
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Jun 3, 2024 - Python
nerf novel view synthesis and 3d reconstruction using pytorch lightning
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Jun 2, 2024 - Python
PyTorch Lightning template for rapid, scalable and reproducible ML experimentation with best practices.
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Jun 2, 2024 - Python
Image Debanding using Inversion by Direct Iteration
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Jun 1, 2024 - Python
An autoregressive forecasting implementation of a LSTM network, NBEATS architecture and Autoformer architecture on rupee dollar exchange rates using pytorch, pytorch lightning, pytorch-forecasting, and GluonTS
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Jun 1, 2024 - Jupyter Notebook
A standard framework for modelling Deep Learning Models for tabular data
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Jun 1, 2024 - Python
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
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May 31, 2024 - Jupyter Notebook
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.
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May 31, 2024 - Python
Official repository of "FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation".
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May 31, 2024 - Python
Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning
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May 31, 2024 - Python
🎯 Deep Learning Framework for Image Classification & Regression in Pytorch for Fast Experiments
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May 31, 2024 - Python
Pytorch implementation of FTNet for Semantic Segmentation on SODA, SCUT Seg, and MFN Datasets
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Jun 2, 2024 - Python
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