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A local-first AI knowledge base & NotebookLM alternative built with Electron. More convenient, more lightweight, and understands you better!
A Julia package for efficient parallel processing pipelines that separates IO-bound operations from CPU-intensive work.
Python tool for converting files and office documents to Markdown.
Fast optimisation of tuning curves by iterative refitting and decoding
Probabilistic Tensor Decomposition of Neural Population Spiking Activity
A Julia package for working with time series (time-indexed arrays)
Your friendly >> chevron >> based syntax for piping data through multiple transformations.
Load, format, analyze, and plot the Allen Neuropixels datasets
Research package for automatic differentiation of programs containing discrete randomness.
Package for writing high-level code for parallel high-performance stencil computations that can be deployed on both GPUs and CPUs
Bayesian Generalized Linear models using `@formula` syntax.
An interface to various automatic differentiation backends in Julia.
A flexible toolkit for simulation based inference in Julia
Stochastic Optimization, Learning, Uncertainty and Sampling
Julia package for neural estimation
A fast CSV command line toolkit written in Rust.
This repository contains the code for benchmarking the performance of Neural Networks between PyTorch and Flux on Julia for High Performance Computing. The benchmarking is done on the MNIST dataset.
All your variable are belong to us
Dash for Julia - A Julia interface to the Dash ecosystem for creating analytic web applications in Julia. No JavaScript required.
Interactive error messages for the Julia REPL.