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Monitor Memory usage of Python code
Generate map-based noise models and noise simulations.
Prefect is a workflow orchestration framework for building resilient data pipelines in Python.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
A fast and efficient type assistant for Python, including tensor shape inference
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. All in a modern, AI-native editor.
A JAX research toolkit for building, editing, and visualizing neural networks.
Simulation of instrumental systematic effects in the context of CMB observations
Flax is a neural network library for JAX that is designed for flexibility.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/
AsahiLinux / linux
Forked from torvalds/linuxLinux kernel source tree
Differentiable and GPU accelerated scattering covariance statistics on the sphere
Pixel implementation for the non-parametric component separation
Adaptation of the popular mkdocs-material material design theme to the sphinx documentation system
A performant NumPy extension for Galois fields and their applications
A convinient python script to plot performance graphs for HPC JAX codes
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
Framework for Unified and Robust data Analysis with JAX
JAX Tutorial notebooks : basics, crash & tips, usage of optax/JaxOptim/Numpyro