DeepEchoSynthetic Data Generation for mixed-type, multivariate time series.
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Mutual labels: time-series, generative-adversarial-network
Doppelganger[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions
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Mutual labels: time-series, generative-adversarial-network
SdvSynthetic Data Generation for tabular, relational and time series data.
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Mutual labels: time-series, generative-adversarial-network
Pytorch Gan TimeseriesGANs for time series generation in pytorch
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Mutual labels: time-series, generative-adversarial-network
Ad examplesA collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.
Stars: ✭ 641 (+1293.48%)
Mutual labels: time-series, generative-adversarial-network
mtss-ganMTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
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Mutual labels: time-series, generative-adversarial-network
Self-Supervised-GANsTensorflow Implementation for paper "self-supervised generative adversarial networks"
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Mutual labels: generative-adversarial-network
MarketData.jlTime series market data
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Mutual labels: time-series
Pytorch-conditional-GANsImplementation of Conditional Generative Adversarial Networks in PyTorch
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Mutual labels: generative-adversarial-network
Awesome-Human-Activity-RecognitionAn up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.
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Mutual labels: time-series
Prediction-using-Bayesian-Neural-NetworkPrediction of continuous signals data and Web tracking data using dynamic Bayesian neural network. Compared with other network architectures aswell.
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Mutual labels: time-series
Deep-Learning-PytorchA repo containing code covering various aspects of deep learning on Pytorch. Great for beginners and intermediate in the field
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Mutual labels: generative-adversarial-network
progressive-growing-of-gans.pytorchUnofficial PyTorch implementation of "Progressive Growing of GANs for Improved Quality, Stability, and Variation".
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Mutual labels: generative-adversarial-network
SMILESMILE: Semantically-guided Multi-attribute Image and Layout Editing, ICCV Workshops 2021.
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Mutual labels: generative-adversarial-network
Soft-DTW-LossPyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
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Mutual labels: time-series
binaryganCode for "Training Generative Adversarial Networks with Binary Neurons by End-to-end Backpropagation"
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Mutual labels: generative-adversarial-network
pytorch-timeseriesPyTorch implementations of neural networks for timeseries classification
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Mutual labels: time-series
GAN-LTH[ICLR 2021] "GANs Can Play Lottery Too" by Xuxi Chen, Zhenyu Zhang, Yongduo Sui, Tianlong Chen
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Mutual labels: generative-adversarial-network
data-viz-utilsFunctions for easily making publication-quality figures with matplotlib.
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Mutual labels: time-series
unicornnOfficial code for UnICORNN (ICML 2021)
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Mutual labels: time-series