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