Lists (15)
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Data Engineering
File I/O
IoT
Julia
Machine Learning
Neuroimaging
Performance profiling
Privacy Machine Learning
Python Best-Practices
Libraries that help me develop good Python software.Quick Python Applications
Real-time data pipeline
Rust
sysadmin
System administration utilitiesTime Series
zsh plugins
Stars
A directive for including a Plotly figure in a Sphinx document.
Practical GPU Sharing Without Memory Size Constraints
ClearML Fractional GPU - Run multiple containers on the same GPU with driver level memory limitation ✨ and compute time-slicing
A python library for fractional fixed-point (base 2) arithmetic and binary manipulation with Numpy compatibility.
High accuracy RAG for answering questions from scientific documents with citations
⚡ A Fast, Extensible Progress Bar for Python and CLI
Simulate the spatial impulse response (SIR) of a wave in your browser!
Brain CT image segmentation, normalisation, skull-stripping and total brain/intracranial volume computation.
zenoh unifies data in motion, data in-use, data at rest and computations. It carefully blends traditional pub/sub with geo-distributed storages, queries and computations, while retaining a level of…
nanomsg-next-generation -- light-weight brokerless messaging
Unsupervised Learning for Image Registration
An implementation of USTB's ultrasound file format (UFF) in Python.
A list of toolboxes for acoustical beamforming.
Glances an Eye on your system. A top/htop alternative for GNU/Linux, BSD, Mac OS and Windows operating systems.
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
📊 A simple command-line utility for querying and monitoring GPU status
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Dagster Labs' open-source data platform, built with Dagster.
cuCIM - RAPIDS GPU-accelerated image processing library
STUMPY is a powerful and scalable Python library for modern time series analysis
A fast and reliable background task processing library for Python 3.