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Science Corporation
- San Francisco, CA
- sophiasanborn.com
- @naturecomputes
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State control system for automated behavioral training
Database for experimental neuroscience laboratories
NeurIPS | 1st place solution for Sensorium 2023 Competition
Open standard for machine learning interoperability
Official Repository of Pretraining Without Attention (BiGS), BiGS is the first model to achieve BERT-level transfer learning on the GLUE benchmark with subquadratic complexity in length (or without…
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Visualize features cells are responsive to via gradient ascent.
Reconstructing visual stimuli shown to mice from two-photon neural recordings
Learnable latent embeddings for joint behavioral and neural analysis - Official implementation of CEBRA
Codebase for testing whether hidden states of neural networks encode discrete structures.
The standardised environment for the hippocampus and entorhinal cortex models
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
Code for recreating the figures in the brainrender paper (Claudi et al. 2020)
A simple tool for zebrafish brain visualization.
Representation Engineering: A Top-Down Approach to AI Transparency
Human preference data for "Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback"
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions
ViT Prisma is a mechanistic interpretability library for Vision Transformers (ViTs).
A python module for scientific analysis of 3D data based on VTK and Numpy