AdaTime VS paper_nava_2023_icra_fault-control-ironcub

Compare AdaTime vs paper_nava_2023_icra_fault-control-ironcub and see what are their differences.

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AdaTime paper_nava_2023_icra_fault-control-ironcub
2 1
152 11
- -
6.6 6.0
12 months ago 4 months ago
Python MATLAB
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.

paper_nava_2023_icra_fault-control-ironcub

Posts with mentions or reviews of paper_nava_2023_icra_fault-control-ironcub. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing AdaTime and paper_nava_2023_icra_fault-control-ironcub 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!

Aerial - Apple TV screen saver for Windows

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

jacl - Just Another Control Library - part of my capstone project

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

lipm_walking_controller - Walking controller for humanoid robots based on inverted pendulum tracking

braindecode - Deep learning software to decode EEG, ECG or MEG signals

phi-accrual-failure-detector - Phi φ Accrual Failure Detector implementation in Python, see: https://samueleresca.net/detecting-node-failures-and-the-phi-accrual-failure-detector/

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

Aerial - Aerial Apple TV screen saver for Windows

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

async-backplane - Simple, Erlang-inspired fault-tolerance framework for Rust Futures.