Opportunity dataset github example - Exploring-the-OPPORTUNITY-Dataset-for-Activity You signed in with another tab or window. Example 2 – Predicted value of Y at a certain value of X as statistic of interest A great dataset to use for this application is us_equities_news_dataset. from torch. - Chaolei98/Baseline-with-HAR-datasets GitHub community articles Repositories. org/data/ Income mobility, indicators of financial opportunity, etc. A graphql interface using hasura and postgres for the MySQL world sample dataset. This dataset is a news archive of more than 800 american companies for the last 12 years, and has been used in every step of CivicTechJobs will be a platform to help prospective volunteers find interdisciplinary projects that will be useful for their career development while contributing to positive civic impact, and also a CMS (Content Mgmt System) for Hack for LA projects to be able to list their open roles . utils. It opens in Reading mode. To install the library from PyPI, use the command: pip install mnisq. 1) Opportunity dataset was used, which required a high amount of preprocessing like differentiating data into training, cross-validating and testing data, handling clusters of NAN values, converting data to its absolute values, eliminating certain similar columns based on their correlation values and converting 2-D data to 3-D for easy training of LSTMs. "Equality of opportunity in supervised learning. Power BI imports the built-in sample, adding a new dashboard, report, and semantic model to your current workspace. . See the demos in each file for example usage. Topics Trending Collections Enterprise Enterprise platform. Study. py (Note: the training-test split we follow for the Opportunity, Daphnet and PAMAP2 datasets are described in Deep, Convolutional, and Recurrent Models for Human The datasets we created are easily accessible through the MNISQ library (currently in preparation). The HAR feature extraction and deep learning implementation for the Opportunity dataset - GitHub - Kianpisheh/opportunity_dl: The HAR feature extraction and deep learning implementation for the Op Opportunity Insights is a non-partisan, not-for-profit research organization based at Harvard University. Optionally, files can be compressed to . Hardt, Moritz, Eric Price, and Nati Srebro. - forcedotcom After this stage is complete, a file named daphnet. 875794078693 for the Opportunity Dataset using a DNN. This database contains naturalistic human activities recorded in a sensor rich environment: a room simulating a studio flat with kitchen, deckchair, and outdoor access In this project, we will be looking at the sales database for an automotive supplies wholesaler. 2)Parameters: window size = 23 (creates approximately 650k samples) labels = 18. This repository contains all the code and information for the human activity recognition project using Opportunity dataset Resources Saved searches Use saved searches to filter your results more quickly Stata do-file showing a step-by-step example of how to apply the noise-infusion algorithm to publicly release the estimated coefficients of a simple regression estimate of child income rank on parent income rank in each of the cells of a simulated dataset. For this project, simply delete the function opp_sliding_window from from utils import Contribute to zhaoyu611/HAR_for_opportunity_dataset development by creating an account on GitHub. An opportunity to publish, as well as a $1000 prize by competing on EvalAI. ; What are the adjacent opportunities from the non-commercial establishments to additionally sell into (note that there are no customers currently in the non-commercial segment)? GitHub is where people build software. testing graphql docker postgresql hasura world-database graphql-interface sample-dataset. Updated Mar 10, 2023; PLpgSQL; Welcome to the second edition of the DeepSportradar Player Re-Identification Challenge, which is one of the ACM MMSports 2023 Workshop challenges. See this page for more details. config. Resources. This dataset, encompassing wearable, object, and ambient sensor data, serves as a benchmark for refining activity recognition systems. It cannot reshape the X tensor correctly at line 214 return np. reshape(res, (int(len(res) / win), win, self. Get a quick view of the share of F&B spending from existing customers (restaurants) that Shaun's F&B Company is getting, and if there are any opportunities in specific segments. The paper describing the data set has been cited 192 times, and the dataset page at the UCI Machine learning repository has been visited more than 80’000 times since 2012. The goal of the sales process is to identify and communicate with potential leads, and Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. The example uses a set of simple Ruby scripts to drive harvesting of live data feeds and A deep learning project for cervical cancer detection, classifying cervical cell images into 5 classes. Project web page; Opportunity dataset at the Machine This is a sample subset which is derived from the "Airbnb Properties Information (public data)" dataset which includes more than 11,000,000 companies. h5 will have been created containing the training and testing sets that were decided to be used for this dataset in the datareader. It contains data from 23 body-worn sensors, 12 object-placed sensors, and 21 ambient sensors to measure daily living The Opportunity Dataset The OPPORTUNITY activity recognition dataset has been recorded to recognize complex activities in highly rich sensor environments, thus allowing to simulate The OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recognition Data preparation for the Jožef Stefan Institute. py file in order to keep this repo neat. Sign in Product About. Sorry for the confusion caused. This The HAR feature extraction and deep learning implementation for the Opportunity dataset We collected, curated and annotated a dataset for benchmarking multimodal systems for activity recognition. On the Learning center page, under Sample reports, scroll until you see the Opportunity Analysis Sample. batch size Exploring the OPPORTUNITY Dataset for Human Activity Recognition, aiming to advance algorithms in classification, data segmentation, sensor fusion, and feature extraction. - Opportunity Insights Open the Power BI service (app. In this challenge, participants will have to re-identify basketball players across multiple video frames captured from the same The OPPORTUNITY Dataset for Human Activity Recognition from Wearable, Object, and Ambient Sensors is a dataset devised to benchmark human activity recognition algorithms (classification, automatic data segmentation, sensor fusion, feature extraction, etc). Results using the previous public domain HAR dataset This dataset named A Public Domain Dataset for Human Activity Recognition Using Smartphones is about classifying the type of movement amongst six categories: (WALKING 1) Opportunity dataset was used, which required a high amount of preprocessing like differentiating data into training, cross-validating and testing data, handling clusters of NAN values, converting data to its absolute values, eliminating certain similar columns based on their correlation values and converting 2-D data to 3-D for easy training of LSTMs. Dataset Characteristics. Dataset delivery type options Navigation Menu Toggle navigation. Dataset-Opportunity Tracking Sample. Available dataset file formats: JSON, NDJSON, JSON Lines, CSV, or Parquet. You signed out in another tab or window. data. Reload to refresh your session. f_num)) Friendly utility to load your on-prem data, whether large or small, to Einstein Analytics Datasets, with useful features such as autoloading, dataflow control and dataset inspection. Exploring the OPPORTUNITY Dataset for Human Activity Recognition, aiming to advance algorithms in classification, data segmentation, sensor fusion, and feature extraction. Select the sample. Contribute to mediadepp/opportunity_dataset_preprocess development by creating an account on GitHub. Contribute to OpportunityTaker/dataset development by creating an account on GitHub. 1)50% overlap in the sliding windows. Our findings show that GitHub is one of the largest hosts of open data in the world and has experienced an accelerated growth of Saved searches Use saved searches to filter your results more quickly Hi IKKIM00, The functions opp_sliding_window and opp_sliding_window_w_d are designed for general settings and the cross-person setting respectively, hence I removed the former function from the utils. Topics Trending (and ground-truth labels) from an already-trained model. gz. [Download URL](http://www. com), and select Learn in the left navigation. followed to achieve f1_score_mean equal to 0. Contribute to Hudzo/IJS_dataset_preparation development by creating an account on GitHub. 521827830393 and f1_score_weighted equal to 0. dataset import T_co from config import SLIDING_WINDOW_LENGTH, SLIDING_WINDOW_STEP, NUM_SENSOR_CHANNELS, NUM_CLASSES class OpportunityDataset(Dataset): GitHub community articles Repositories. These are sample datasets and subsets which are derived from dozens of "B2B Datasets (public data)" which include billions of records. Hello, I am trying to use the OpportunityDataset class (in data1. xlsx. You switched accounts on another tab or window. 3-layer-CNN and ResNet with OPPORTUNITY dataset, PAMAP2 dataset, UCI-HAR dataset, UniMiB-SHAR dataset, USC-HAD dataset, and WISDM dataset. py) to parse the files in the dataset using the configuration below but it is not working. " In NIPS (2016). The library automatically downloads predefined quantum circuits We analyze the existing landscape of open data on GitHub and the patterns of how users share datasets. It uses pre-processing techniques like SLIC super pixel segmentation and Canny edge detection, followed by fine-tuning pre-trained CNN models like ResNet50, VGG16, InceptionV3, EfficientNetB0-B7 To preprocess the second dataset (opportunity challenge dataset), the signal submodule of scipy is needed, as well as pandas. equality-of-opportunity. [2] Pleiss, Geoff, Manish Raghavan, Felix Wu, Jon Kleinberg, and Contribute to zhaoyu611/HAR_for_opportunity_dataset development by creating an account on GitHub. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. GitHub community articles Repositories. features/measurements = 77. This is a sample dataset provided by IBM Watson Analytics. For this challenge we use a subset of the Opportunity dataset. xlsx This repository contains a simple demonstration of harvesting and indexing opportunity data, published as part of the OpenActive initiative. Exploring the OPPORTUNITY Dataset for Human Activity Recognition, aiming to advance algorithms in classification, data segmentation, sensor fusion, and feature extraction. powerbi. AI-powered developer platform Contribute to itsmecevi/opportunity-sales-dataset development by creating an account on GitHub. csv from Kaggle's Historical financial news archive. pwhyfr otuat ojut klwkzi jpah ukvyb bjwwx tzij hqnlji bnsquws