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Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Library for implementing reservoir computing models (echo state networks) for multivariate time series classification, clustering, forecasting, and much more!
Panel: The powerful data exploration & web app framework for Python
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Code for "FastSAM3D: An Efficient Segment Anything Model for 3D Volumetric Medical Images"
Variational Recurrent Autoencoder for timeseries clustering in pytorch
Hiera: A fast, powerful, and simple hierarchical vision transformer.
[CVPR 2023] VideoMAE V2: Scaling Video Masked Autoencoders with Dual Masking
[CVPR2023] Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning (https://arxiv.org/abs/2212.04500)
A Python toolbox for analysing body movements across space and time
Official Open Source code for "Masked Autoencoders As Spatiotemporal Learners"
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
Applied generative adversarial networks (GANs) to do anomaly detection for time series data
A tool for efficient semi-supervised video object segmentation (great results with minimal manual labor) and a dataset for benchmarking
A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters
Utilities to copy data to and from the data server through python using rclone.
Move and resize windows on macOS with keyboard shortcuts and snap areas
Accelerated pose estimation and tracking using semi-supervised convolutional networks.
DataJoint Element for behavioral analysis with DeepLabCut
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
FastF1 is a python package for accessing and analyzing Formula 1 results, schedules, timing data and telemetry
Advanced Python Mastery (course by @dabeaz)