AdaTime VS braindecode

Compare AdaTime vs braindecode and see what are their differences.

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AdaTime braindecode
2 1
152 717
- 5.7%
6.6 9.3
12 months ago 6 days ago
Python Python
MIT License BSD 3-clause "New" or "Revised" 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.

AdaTime

Posts with mentions or reviews of AdaTime. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-06.

braindecode

Posts with mentions or reviews of braindecode. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.

What are some alternatives?

When comparing AdaTime and braindecode you can also consider the following projects:

pykale - Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!

awesome-tech-rss - List of awesome RSS channels related to startup, science and technology.

DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated

Shallow-learning - Replicating brain's low energy high efficiency model architecture & calculating (maths)

TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

python-meegkit - 🔧🧠 MEEGkit: MEG & EEG processing toolkit in Python

paper_nava_2023_icra_fault-control-ironcub - Repository associated with the paper "Failure Detection and Fault Tolerant Control of a Jet-Powered Flying Humanoid Robot", published in IEEE ICRA 2023.

EEG-Datasets - A list of all public EEG-datasets

Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

fooof - Parameterizing neural power spectra into periodic & aperiodic components.

DA-Faster-RCNN - Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild

snntorch - Deep and online learning with spiking neural networks in Python