CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images
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Updated
Apr 9, 2024 - Python
CVPR2023 | MVImgNet: A Large-scale Dataset of Multi-view Images
[ECCV2020 Spotlight] Efficient Spatio-Temporal Recurrent Neural Network for Video Deblurring
[CVPR2023] Blur Interpolation Transformer for Real-World Motion from Blur
[CVPR2021] Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes
Predict if SpaceX Falcon 9 first stage will land successfully after rocket launches.
Solve time series and forecasting problems in TensorFlow, Prepare data for time series learning using best practices, Explore how RNNs and ConvNets can be used for predictions, Build a sunspot prediction model using real-world data
Foundational Python skills for Working with a real-world data set and a real-world inspired scenario to identify patterns and trends
Example code for the handbook "Comparative effectiveness and personalized medicine using real-world data"
ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data
This is the coding and solution for my MSc Computer Science Thesis (2023) that uses Garmin FIT files to visualise athletes data for their own training development
Working with a real world data-set using SQL (SQLite) and Python
10 hrs live hackathon held at ZS Office amongst the Top 40 Emerging Data Scientists of the country.
This is a course taught at University of Cambridge. I want to present my implementations of the machine learning and data analysis algorithms.
Create a database from scratch, using the judiciary "pénal" system from France as an inspiration
A Python script for rock climbers that finds new cliffs / boulder fields based on elevation data
Centralized reference system
Abstract for OHDSI European Symposium 2023
worked with multiple real-world data sets for the city of Chicago, was asked questions that would help understand the data as one would in the real world, and was judged on the correctness of SQL queries and results.
R pipeline to build models specializing on zero-inflated microbiome data
An in-depth analysis of global energy consumption trends from 1965 to 2023, using data from various countries and regions.
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