Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition
-
Updated
Mar 16, 2024
Skeleton-based Self-Supervised Feature Extraction for Improved Dynamic Hand Gesture Recognition
An end-to-end masked contrastive video-and-language pre-training framework
Machine Learning Development - Chicago Weather Time Series
Good Seed were employed Data Science for alcohol law compliance. My role includes using specialized cameras at checkout for alcohol buys, applying advanced computer vision for age verification, and designing a model to confirm age. I built a model with ResNet50 and 'relu', using a single neuron to output.
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Mechanical and Aerospace Engineering Final Year Project
In this project I implemented decision tree, bagged tree, random forest and XGBoost for comparison of better MAE performance between Trees Algorithms.
Time Series Forecasting Methods to forecast Daily Post Publications on Medium
Predicting turbine energy yield (TEY) using ambient variables as features.
Before GUI, There are Two ways to preprocessing any data set with two jupyter notebooks, GUI to choose Cleaned CSV data_set,Show most of properties of this data_set,Choose test size & alpha size & error metrics to train Ml algorithm on this data set,show ( test & train ) Percentage as output
[NeurIPS 2023 (Spotlight)] Uncovering the Hidden Dynamics of Video Self-supervised Learning under Distribution Shifts
In this case study, we have dataset of a company for case study to find actualy proudcity of its workers using regression models. I draw a comparative analysis of different machine learning algorithms on the basis of mean absolute error.
Adversarial Patch defense using SegmentAndComplete (SAC) & Masked AutoEncoder (MAE)
Cryptocurrency Recommendation based on Tweets
Regression algorithms to predict the median house prices in California districts
Compute the mean absolute error (MAE) incrementally.
Add a description, image, and links to the mae topic page so that developers can more easily learn about it.
To associate your repository with the mae topic, visit your repo's landing page and select "manage topics."