murnanedaniel / Dynamic-Loss-WeightingLinks
A small collection of tools to manage deep learning with multiple sources of loss
☆17Updated 9 months ago
Alternatives and similar repositories for Dynamic-Loss-Weighting
Users that are interested in Dynamic-Loss-Weighting are comparing it to the libraries listed below
Sorting:
- A PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.☆68Updated 2 weeks ago
- A flexible template, as a quick setup for deep learning projects in pytorch-lightning☆48Updated 2 years ago
- Experimenting with different regression losses. Implemented in Pytorch.☆148Updated 7 years ago
- A customized PyTorch layer and a customized PyTorch activation function using B-spline transformation☆29Updated 5 years ago
- Functional TensorFlow Implementation of Singular Value Decomposition for paper Fast Graph Learning☆13Updated 4 years ago
- Python implementation of the Mixed-Scale Dense Convolutional Neural Network☆34Updated 2 years ago
- Use scipy.optimize.minimize as a PyTorch Optimizer.☆74Updated last year
- "pip install unet": PyTorch Implementation of 1D, 2D and 3D U-Net architecture.☆190Updated last year
- Matthews Correlation Coefficient Loss implementation for image segmentation.☆12Updated 9 months ago
- High-order spline interpolation in PyTorch☆69Updated last year
- ☆13Updated 2 years ago
- Hyppopy is a python toolbox for blackbox optimization. It's purpose is to offer a unified and easy to use interface to a collection of so…☆27Updated 3 years ago
- ☆64Updated 2 years ago
- Core functionality of Eisen☆42Updated 5 years ago
- Material for the SC21 Deep Learning at Scale Tutorial☆27Updated 2 years ago
- Implementation of the SoftAdapt paper (techniques for adaptive loss balancing of multi-tasking neural networks)☆33Updated last year
- Distributed Training of Bayesian Neural Networks at Scale☆11Updated 5 years ago
- PyTorch implementation of Conditional Random Field layer☆67Updated 5 years ago
- DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning☆305Updated 3 weeks ago
- A simple library to deploy Keras neural networks in pure C for realtime applications☆91Updated last month
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆152Updated 2 months ago
- Code for the paper "Analyzing inverse problems with invertible neural networks." (2018)☆105Updated 5 years ago
- Create Numpy .npy files by appending on the growth axis☆65Updated 7 months ago
- Template for GPU accelerated python libraries☆51Updated 2 years ago
- Official Code for "Invert to Learn to Invert" that allows training of invertible networks without storing activations☆37Updated 5 years ago
- Python Library for Signal/Image Data Analysis with Transport Methods☆49Updated 2 weeks ago
- Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)☆137Updated 6 years ago
- TensorFlow implementation of descrete wavelets transforms☆52Updated 5 years ago
- 3D Bayesian Convolutional Neural Network (BCNN) for Credible Geometric Uncertainty. Code for the paper: https://arxiv.org/abs/1910.10793☆65Updated 2 years ago
- vbeam: a fast and differentiable beamformer☆47Updated last month