NeuralCDE VS signatory

Compare NeuralCDE vs signatory and see what are their differences.

NeuralCDE

Code for "Neural Controlled Differential Equations for Irregular Time Series" (Neurips 2020 Spotlight) (by patrick-kidger)
Machine Learning rough-paths neural-differential-equations time-series controlled-differential-equations Deep Learning deep-neural-networks Pytorch dynamical-systems differential-equations neural-networks
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signatory

Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021) (by patrick-kidger)
Signature logsignature signatures logsignatures rough-paths Machine Learning Pytorch Deep Learning deep-neural-networks
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NeuralCDE signatory
1 1
581 249
- -
0.0 0.0
over 1 year ago 4 months ago
Python C++
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

NeuralCDE

Posts with mentions or reviews of NeuralCDE. We have used some of these posts to build our list of alternatives and similar projects.

signatory

Posts with mentions or reviews of signatory. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-19.
  • [R] Authors Claim to Have "Solved" MNIST and CIFAR
    3 projects | /r/MachineLearning | 19 Apr 2022
    As it happens, I know quite a lot about signatures. I spent half my PhD working on them. For example I am the author of the most popular library for computing signatures, which involved coming up with some new asymptotically optimal algorithms for computing them. So that's my credentials out the way.

What are some alternatives?

When comparing NeuralCDE and signatory you can also consider the following projects:

torchdyn - A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

oneflow - OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.

sktime-dl - DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

serving - A flexible, high-performance serving system for machine learning models

deepxde - A library for scientific machine learning and physics-informed learning

MNN - MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

tensorflow - An Open Source Machine Learning Framework for Everyone

bittensor - Internet-scale Neural Networks

CNTK - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

OpenChem - OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research

learning_with_signatures - Learning with Signatures

NeuralCDE vs torchdyn signatory vs oneflow NeuralCDE vs sktime-dl signatory vs serving NeuralCDE vs deepxde signatory vs MNN NeuralCDE vs torchsde signatory vs tensorflow NeuralCDE vs bittensor signatory vs CNTK NeuralCDE vs OpenChem signatory vs learning_with_signatures