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New York University - Shanghai
- Shanghai
- https://erlichlab.org
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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.
Julia package with selected functions in the R package `rethinking`. Used in the SR2... projects.
A Julia toolbox with resampling methods to correct for class imbalance.
GPU-acceleration routines for DifferentialEquations.jl and the broader SciML scientific machine learning ecosystem
Neuroimaging (EEG, fMRI, pupil ...) regression analysis in Julia
Tidier data visualization in Julia, modeled after the ggplot2 R package.
Interactive visualization tools for Julia
A fast and flexible Structural Equation Modelling Framework
A Python package for interacting with Bluetooth Low Energy (BLE) compatible bike trainers, power meters, radars and heart rate monitors