384 skills found · Page 5 of 13
ritikamotwani / Deception DetectionDetecting Deception using Verbal Cues | Dataset Used: Real life trial data collected during a series of experiments at Michigan (http://web.eecs.umich.edu/~zmohamed/PDFs/Trial.ICMI.pdf) and Deceptive Opinion Spam Corpus v1.4(https://myleott.com/op-spam.html)
JulesBelveze / Time Series Dataset:wrench: Easy-to-use PyTorch Dataset object for multivariate time series :wrench:
chriskhanhtran / Object Detection Detectron2A series of notebooks to dive deep into popular datasets for object detection and learn how to train Detectron2 on a custom dataset
yuconan / Kddcup2021KDD CUP 2021 Multi-dataset Time Series Anomaly Detection
lenguyenthedat / Minimal DatascienceThis repository contains all the code and dataset used in my blog series: Minimal Data Science
qiumiao30 / Time Series Anomaly DetectionList of papers & datasets for anomaly detection on multivariate time-series data.
duckdb-wasm-examples / Duckdbwasm VitebrowserBarebones example of querying with duckdb-wasm using Vite and just the browser (no front-end framework). No dataset file is loaded; the data is created using the generate_series function.
SiddhantKumar14 / Smart Agriculture With AI And Computer VisionA series of machine learning models that help when fed the dataset of a specie of plants, will help in automating farming tasks.
00Enkidu / Clustering On Air QualityThis project focuses on applying popular clustering algorithms to analyze an air quality dataset. Through a series of tasks, we explore methods for clustering, evaluate their effectiveness, and interpret the results, using key metrics like Purity, SSE (Sum of Squared Error), and Silhouette Coefficients.
prabeshdhakal / Introductory Time Series With R DatasetsDatasets for the book "Introductory Time Series with R" by Cowpertwait & Metcalfe
dbklim / Russian Subtitles DatasetPreprocessing of the dataset of 347 subtitles for the TV series (thanks to Taiga Corpus) to build a word2vec model, JamSpell model, neural network training, chat bot training or in any other NLP task.
yaricom / TimeSeriesLearningThe project aimed to implement Deep NN / RNN based solution in order to develop flexible methods that are able to adaptively fillin, backfill, and predict time-series using a large number of heterogeneous training datasets.
Madhuarvind / Time Series Forecasting ToolA Python-based web application for time series forecasting that enables users to upload datasets, analyze trends, and predict future values using advanced machine learning models.
blacksnail789521 / Time IMMA benchmark dataset for Irregular Multimodal Multivariate Time Series, introduced in the NeurIPS 2025 paper “Time-IMM: A Dataset and Benchmark for Irregular Multimodal Multivariate Time Series.”
bryanvriel / IceutilsCollection of Python functions and classes for analyzing spatial datasets and time series
msorkhpar / Wiki Entity SummarizationThis repository hosts a comprehensive suite for graph-based entity summarization dataset generating from user-selected Wikipedia pages. Utilizing a series of interconnected modules, it leverages Wikidata and Wikipedia dumps to construct a dataset, alongside auto-generated ground truths.
OpenXAIProject / Relational Automatic StatisticianExpainable Baysian Models for Smooth Time Series Datasets (modified)
CESNET / Cesnet TszooCESNET Ts-Zoo is a toolkit for working with large time series network traffic datasets.
ZipengWu365 / EchoTimeEchoTime: explainable structural similarity for time series and time-series datasets, with shareable HTML reports and agent-ready JSON.
equinor / TimeSeriesAnalysisLibrary for dynamic time-series modeling, identification and simulation. Focus on dealing with non-ideal real world datasets, and applications to industrial processes and -pid-feedback loops. Robust and fast for advanced analytics. Built on .NET to run anywhere.
