NeuralCDE VS sense

Compare NeuralCDE vs sense and see what are their differences.

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NeuralCDE sense
1 4
570 726
- 1.1%
0.0 0.0
over 1 year ago over 2 years ago
Python Python
Apache License 2.0 MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

sense

Posts with mentions or reviews of sense. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-05.

What are some alternatives?

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

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

transfer-learning-conv-ai - 🦄 State-of-the-Art Conversational AI with Transfer Learning

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

SSD-pytorch - SSD: Single Shot MultiBox Detector pytorch implementation focusing on simplicity

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

pytorch-forecasting - Time series forecasting with PyTorch

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

pytorch-tutorial - PyTorch Tutorial for Deep Learning Researchers

bittensor - Internet-scale Neural Networks

hagrid - HAnd Gesture Recognition Image Dataset

PyTorch-Guide - PyTorch Guide

signatory - Differentiable computations of the signature and logsignature transforms, on both CPU and GPU. (ICLR 2021)