Highlights
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Stars
Python package to interpolate recordings and stimuli of neuroscience experiments
Code for the NeurIPS 2024 paper on object segmentation from common fate
An extremely fast Python package and project manager, written in Rust.
ViT Prisma is a mechanistic interpretability library for Vision and Video Transformers (ViTs).
Machine Learning Utils of Sinzlab
UnitRefine is a machine-learning toolbox that simplifies spike sorting curation by reducing manual curation.
A Python-based module for creating flexible and robust spike sorting pipelines.
Visualize/test models for visual representation by synthesizing images.
NEural MOdelS, a statistical modeling framework for neuroscience.
Collaborative retina modelling across datasets and species.
Estimating the dimensionality of neural data using Shared Variance Component Analysis (SVCA)
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
A fast and efficient type assistant for Python, including tensor shape inference
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
A Python library for creating and simulating large-scale brain models
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
A comprehensive guide on how to create beautiful scientific figures for technical publications, presentations, and posters
A tiling window manager for macOS based on binary space partitioning
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
(⌐■_■) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.
High performance Python GLMs with all the features!
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
A concise but complete full-attention transformer with a set of promising experimental features from various papers