deep-learningdatasetmotion-blurdeblurringreal-world-datavideo-deblurringeccv2020 UpdatedJun 25, 2023 Python zzh-tech/BiT Star226 Code Issues Pull requests [CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur computer-visiondeep-learningpytorchdatasetcvprimage-restorationdeblurringreal-world...
rexploratory-data-analysisdata-visualizationdatasciencedatasetpeoplepopulationafricademographicssocial-scienceschoropleth-maprprogrammingcontinentsworld-populationgrowthrate UpdatedJul 12, 2024 R wikipedia-world-population javascriptwikipediapopulationworld-population ...
Interactive visualization tools to explore a wide range of related indicators. Poverty Data Explorer Population & Demography Data Explorer Global Health Data Explorer Energy Data Explorer Subscribe to our newsletters Receive our latest work by email. Daily Data Insights Receive our bite-sized insights on...
World Development Indicators | World Bank Data Visualization with Plotly using Animation for Beginners Overview This data set contains data from 196 countries. It has data for 4 years. Includes various features that determine the social conditions prevalent in that country. The data set has features ...
Big data is improved by cloud computation. Usually, when the volume of a dataset is huge and is not manageable like the traditional databases, then we can call it big data. On the other hand, the cloud provides the required infrastructures for big data computation. In real life, many organ...
Figure 1. Training graph of the CNN model for the two-stress class based on the SRAD dataset. Figure 2. Training graph of the CNN model for the two-stress class based on the BH dataset. Figure 3. Training graph of the CNN model for the two-stress class based on the E4-L datase...
we calculate the key performance indicators (KPIs) charging events per week and average event duration. Furthermore, the overall recording time for each charging point is determined. This parameter may vary as more data sources were gradually added over time to the data set, and some CSs did ...
Basic Data Processing and Visualization from University of California, San Diego ★★★☆☆(1) Big Data Analysis with Scala and Spark from École Polytechnique Fédérale de Lausanne★★★☆☆(1) Introduction to Data Science with Python from Harvard University★★★☆(1) Bioinformatics: Introductio...
NatureServe grant Andean Species-level Indicators (to J.A.L., K.N. and L.H.). Rainforest Trust grant Identifying Priority Sites for the Most Threatened Amphibian Species (to J.A.L., K.N., L.H. and S.N.S.). Yayasan Belantara grant support for the Indonesian Amphibian Red List ...
(EDA), a critical step in predictive analytics, objectively identifies key dataset features—often using visual methods. Unliketraditional data mining, EDA doesn’t rely on hypotheses or targeted problem-solving. Instead, it aims to objectively explore and understand the data’s underlying patterns ...