Deep Learning is a subset of Machine Learning that uses multi-layers artificial neural networks to deliver state-of-the-art accuracy.
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Tag: Python
Euporie – work with Jupyter kernels and notebooks
Euporie is a suite of terminal applications for working with Jupyter kernels and notebooks.
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tg – Telegram terminal client
tg is a Python Telegram terminal client with messaging, media, voice notes, secret chats, notifications and vi-style keybindings.
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Sub Editor – visual subtitle editor
Sub Editor is a visual subtitle editor designed for accurate timing and keyboard-driven operation.
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Scanpy – scalable toolkit for analysing single-cell gene expression data
Scanpy is a scalable toolkit for analysing single-cell gene expression data. It can handle datasets containing more than one million cells.
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OutWiker – cross-platform note-taking application
OutWiker is a cross-platform note-taking application that stores notes in a tree structure.
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MultiQC – aggregate results from bioinformatics analyses
MultiQC is a reporting tool that aggregates results from multiple bioinformatics analyses and samples into a single report
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wradlib – process weather radar data
wradlib is a Python library designed to assist with the processing of weather radar data.
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PyTorch Lightning – deep learning framework
PyTorch Lightning is a deep learning framework for pretraining and fine-tuning models with PyTorch.
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Metview Python – Python interface to Metview
Metview Python provides a Python interface to Metview, a meteorological workstation and batch system.
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14 Best Free and Open Source Command-Line Python Application Development Tools
Python comes with several different libraries that allow you to write a command line interface for your scripts.
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Flet – framework for building multi-platform applications
Flet is a framework for building multi-platform applications entirely in Python, without requiring frontend development experience.
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tinygrad – compact end-to-end deep learning stack
tinygrad is a compact end-to-end deep learning stack designed to sit somewhere between PyTorch and micrograd.
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Daft – high-performance data engine
Daft is a high-performance data engine designed for AI and multimodal workloads.
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MindSpore – deep learning framework
MindSpore is a deep learning framework for training and inference across cloud, edge, and mobile environments.
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Equinox – JAX library
Equinox is a JAX library for building neural networks and other parameterised models. It provides a PyTorch-like approach
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Postcard – lightweight email client
Postcard is a lightweight email client built with GTK 4, libadwaita and Python .Inspired by Geary’s three-pane layout.
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Pingouin – statistical package for Python
Pingouin is a statistical package for Python designed to provide simple yet comprehensive functions for commonly used statistical tests.
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SeisBench – toolbox for applying machine learning techniques to seismology
SeisBench provides a common interface for seismic datasets, pretrained models and data-generation pipelines.
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SimPEG – simulation and gradient-based parameter estimation in geophysical applications
SimPEG provides a framework for finite-volume simulation, geophysical imaging, inversion and subsurface flow problems.
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