paper_nava_2023_icra_fault-control-ironcub
AdaTime
paper_nava_2023_icra_fault-control-ironcub | AdaTime | |
---|---|---|
1 | 2 | |
11 | 149 | |
- | - | |
6.0 | 6.6 | |
4 months ago | 11 months ago | |
MATLAB | Python | |
BSD 3-clause "New" or "Revised" License | MIT License |
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.
paper_nava_2023_icra_fault-control-ironcub
AdaTime
-
[R] A benchmarking framework for time-series unsupervised domain adaptation
Code for https://arxiv.org/abs/2203.08321 found: https://github.com/emadeldeen24/AdaTime
What are some alternatives?
Aerial - Apple TV screen saver for Windows
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!
jacl - Just Another Control Library - part of my capstone project
DFSpot-Deepfake-Recognition - Determine whether a given video sequence has been manipulated or synthetically generated
lipm_walking_controller - Walking controller for humanoid robots based on inverted pendulum tracking
TS-TCC - [IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
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/
braindecode - Deep learning software to decode EEG, ECG or MEG signals
Aerial - Aerial Apple TV screen saver for Windows
Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
async-backplane - Simple, Erlang-inspired fault-tolerance framework for Rust Futures.
DA-Faster-RCNN - Detectron2 implementation of DA-Faster R-CNN, Domain Adaptive Faster R-CNN for Object Detection in the Wild