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2dconv_pub

Predicting time series with a 2D convolution network

anomalyclip

Official implementation for AnomalyCLIP (ICLR 2024)

anomalydetection.tcn

Anomaly Detection for time-series using Temporal Convolutional Networks.

beginning-anomaly-detection-using-python-based-dl

Source Code for 'Beginning Anomaly Detection Using Python-Based Deep Learning' by Sridhar Alla and Suman Kalyan Adari

bioma-tcn-ae

Minimal Working Example of a (baseline) Temporal Convolutional Autoencoder (TCN-AE) for Anomaly Detection in Time Series

c-rnn-gan

Implementation of C-RNN-GAN.

calda

Contrastive Adversarial Learning for Multi-Source Time Series Domain Adaptation

class

conditional-sig-wasserstein-gans

contrarian-trading-strategies

Source Codes for "Contrarian Trading Strategies in Python"

courses

Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

darts

A python library for easy manipulation and forecasting of time series.

data-science-blogs

A curated list of data science blogs

datasharing

The Leek group guide to data sharing

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deeptcn

depmixs4

Dependent Mixture Models - Hidden Markov Models of GLMs and

docparser

embedding-propagation

Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification

emd_vae

Variational Autoencoder for Particle Physics using Earth-Movers Distance

exdata_plotting1

Plotting Assignment 1 for Exploratory Data Analysis

few-shot-action-recognition

Codes for arXiv paper "Semi-supervised Few-shot Atomic Action Recognition".

few-shot-domain-adaptation-by-causal-mechanism-transfer

Implementation of Few-shot Domain Adaptation by Causal Mechanism Transfer (ICML 2020)

few-shot-gnn

few-shot-one-class-classification-via-meta-learning

A Meta-Learning Approach for Few-Shot Anomaly Detection and One-Class Classification

few-shot-ssl-public

Meta Learning for Semi-Supervised Few-Shot Classification

fewshotwithoutforgetting

framework

Machine learning, computer vision, statistics and general scientific computing for .NET