AdaptiveMotorControlLab/CEBRA is ranked 3,953 among these 8 peers; autonomousvision/navsim is ranked 3,952.

📚Documentation | 💡DEMOS | 🛠️ Installation | 🌎 Home Page | 🚨 News | 🪲 Reporting Issues Welcome! 👋 **CEBRA** is a library for estimating **C**onsistent **E**m**B**eddings of high-dimensional **R**ecordings using **A**uxiliary variables. It contains self-supervised learning algorithms implemented in PyTorch, and has support for a variety of different datasets common in biology and neuroscience. To receive updates on code releases, please 👀 watch or ⭐️ star this repository! cebra is a patented self-supervised method for non-linear clustering that allows for label

-informed time series analysis. It can jointly use behavioral and neural data in a hypothesis- or discovery-driven manner to produce consistent, high-performance latent spaces. While it is not specific to neural and behavioral data, this is the first domain we used the tool in. This application case is to obtain a consistent representation of latent variables driving activity and behavior, improving decoding accuracy of behavioral variables over standard supervised learning, and obtaining embeddings which are robust to domain

shifts. References 📄 **Publication April 2025**: Time-series attribution maps with regularized contrastive learning. Steffen Schneider, Rodrigo González Laiz, Anastasiia Filipova, Markus Frey, Mackenzie Weygandt Mathis. 📄 **Publication April 2025**: Self-supervised contrastive learning performs non-linear system identification Rodrigo González Laiz*, Tobias Schmidt*, Steffen Schneider. 📄 **Publication May 2023**: Learnable latent embeddings for joint behavioural and neural analysis. Steffen Schneider*, Jin Hwa Lee* and Mackenzie Weygandt Mathis. 📄 **Preprint April 2022**: Learnable latent embeddings for joint behavioral and neural analysis. Steffen

Schneider*, Jin Hwa Lee* and Mackenzie Weygandt Mathis Patent Information Dimensionality reduction of time-series data, and systems and devices that use the resultant embeddings. Steffen Schneider* & Mackenzie Weygandt Mathis*. Please contact the TTO office at EPFL for licensing. 0, CEBRA is open source software under an Apache 2. 1 were released for academic use only (please read the license file).