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Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
The standardised environment for the hippocampus and entorhinal cortex models
Implementation of the Tolman Eichenbaum Machine in pytorch
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Self-Supervised 3D Keypoint Discovery from Multi-View Videos
Understanding Deep Learning - Simon J.D. Prince
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
Scalable and user friendly neural 🧠 forecasting algorithms.
Cross-platform, customizable ML solutions for live and streaming media.
A basic PyTorch implementation of 'Denoising Diffusion Probabilistic Models'
Tutorials on learning and using successor representations.
A library for neuroscience-inspired navigation and decision making research.
Computations and statistics on manifolds with geometric structures.
A curated list of resources about generative flow networks (GFlowNets).
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
The repository for Hyperbolic Representation Learning for Computer Vision, ECCV 2022
A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond
A modular framework for neural networks with Euclidean symmetry
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.
Compile markdown into an html and pdf book based on pandoc.