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delira

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  Analyzed 1 day ago

Lightweight framework for fast prototyping and training deep neural networks with PyTorch and TensorFlow

13.7K lines of code

12 current contributors

almost 6 years since last commit

1 users on Open Hub

Inactive
0.0
 
0 Reviews
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Mostly written in Python
Licenses: bsd_2clau...
Tags cnn deep_learning machinelearning medical_imaging neural_networks python pytorch tensorflow

GaNDLF

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  Analyzed about 20 hours ago

A generalizable application framework for segmentation, regression, and classification using PyTorch

24.1K lines of code

0 current contributors

4 months since last commit

1 users on Open Hub

Moderate Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: apache_2
Tags deep_learning easy-to-use framework healthcare python pytorch

darts

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  Analyzed about 9 hours ago

darts is a python library for easy manipulation and forecasting of time series. It contains a variety of models, from classics such as ARIMA to neural networks. The models can all be used in the same way, using fit() and predict() functions, similar to scikit-learn. The library also makes it easy to ... [More] backtest models, and combine the predictions of several models and external regressors. Darts supports both univariate and multivariate time series and models. [Less]

88.4K lines of code

0 current contributors

6 days since last commit

0 users on Open Hub

Moderate Activity
5.0
 
0 Reviews
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Mostly written in Python
Licenses: apache_2
Tags analytics deep_learning forecasting machine_learning python pytorch timeseries

torchjd

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  Analyzed about 17 hours ago

TorchJD is a library enabling Jacobian Descent (JD) with PyTorch, to train neural networks with multiple objectives. It is based on the theory from Jacobian Descent For Multi-Objective Optimization and several other related publications.

7.41K lines of code

0 current contributors

6 days since last commit

0 users on Open Hub

Moderate Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: lgpl
Tags deep_learning deep_neural_networks machine_learning pytorch

DeepInverse

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  Analyzed about 4 hours ago

DeepInverse is an open-source PyTorch-based library for solving imaging inverse problems with deep learning. deepinv accelerates deep learning research across imaging domains, enhances research reproducibility via a common modular framework of problems and algorithms, and lowers the entrance bar to new practitioners.

45.6K lines of code

0 current contributors

about 12 hours since last commit

0 users on Open Hub

High Activity
0.0
 
0 Reviews
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Mostly written in Python
Licenses: BSD-3-Clause
Tags ai computational-imaging computed-tomography deblurring deep-learning denoising diffusion-models image-processing image-reconstruction imaging inverse-problem medical_imaging 4 more...