Repository Index

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

• machine-learning
• deep-learning
• lstm
• human-activity-recognition

Machine Learning toolbox for Humans

Reference mapping for single-cell genomics

• single-cell
• deep-learning
• rna-seq-analysis
• data-integration

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

BulkFormer: A large-scale foundation model for human bulk transcriptomes

Human Protein Atlas image classification competition