Reverse Dependencies of h5py
The following projects have a declared dependency on h5py:
- rlephant — A simple tool to efficiently read and write episodes of MDP's to files.
- RMK-support — Python modules and notebooks used to initialize and analyze ReMKiT1D runs
- rnasamba — A tool for computing the coding potential of RNA transcript sequences using deep learning.
- robot-log-visualizer — Visualizer for robot logger
- robotframework-imagedetection — Image detection for Robot-Framework
- robotoff — Real-time and batch prediction service for Open Food Facts.
- robovat — RoboVat: A unified toolkit for simulated and real-world robotic task environments.
- roboy-parlai — Unified API for accessing dialog datasets.
- roc-dadi — RPW DAta DIspatcher (DADI): Plugin to handle data files read/write by the pipeline
- roc-dingo — Data INgestOr (DINGO) plugin is used to ingest data into the ROC pipeline database
- roc-film — RPW FILe Maker (FILM): Plugin to make RPW L0, L1 and HK data files
- roc-rap — Rpw dAta Processor (RAP): a plugin used to process RPW L0, L1 and HK data
- rockingester — Service to discover incoming images from the Formulatrix Rockmaker and ingest them into the database.
- roger — Runoff Generation Research - a process-based hydrological toolbox model in Python
- roiextractors — Python module for extracting optical physiology ROIs and traces for various file types and formats
- rom-operator-inference — Operator inference for data-driven, non-intrusive model reduction of dynamical systems.
- rombus — Reduced order modeling for the masses
- rompy — Relocatable Ocean Modelling in PYthon (rompy)
- romspline — A Python package for building reduced-order models to interpolate univariate data.
- roodmus — Synthetic SP micrograph creation and analysis
- root2hdf5 — Lightweight ROOT to HDF5 file converter
- rosettasciio — Reading and writing scientific file formats
- rostspace — Protein Embedding Visualization Tool.
- rotsim2d — Simulate 2D rovibrational spectra of gas-phase molecular samples
- rpi-deep-pantilt — An example of deep object detection and tracking with a Raspberry Pi, PiCamera, and Pimoroni Pantilt Hat
- rsa3 — Python Representational Similarity Analysis (RSA)
- rsatoolbox — Representational Similarity Analysis (RSA) in Python
- rsmlkit — Auxialiary package for running experiments
- rstojnic-tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
- rtf — Remote Tensorflow Execution (rtf): gRPC server and clients generators
- rubin-scheduler — Scheduling algorithms for Vera C. Rubin Observatory's Legacy Survey of Space and Time (LSST).
- rubin-sim — Scheduler, survey strategy analysis, and other simulation tools for Rubin Observatory.
- rul-datasets — A collection of datasets for RUL estimation as Lightning Data Modules.
- run-crom — A package for training and testing CROM weights
- runviewer — A program to view shots compiled by labscript
- rwa-python — HDF5-based serialization library for Python datatypes
- Rythmnet-estimation — no summary
- Rythmnet-estimation-2 — no summary
- Rythmnet-estimation-package — no summary
- Rythmnet-HR-estimation — no summary
- Rythmnet-package — Rythmnet_implementation
- s100py — This python package provides api and utilities for encoding hydrographic datasets in the International Hydrographic Organization (IHO) S-100 format
- s11-classifier — Classifier
- s3-client-server-side — A library that makes it easy to upload and load data using the server-side data storage method using AWS S3 buckets.
- s3dxrd — Tools for intragranular strain estimation with s3dxrd data.
- s3prl-vc — Voice conversion toolkit based on S3PRL: Self-Supervised Speech/Sound Pre-training and Representation Learning Toolkit
- sabathdev — no summary
- saenopy — Semi-elastic fiber optimisation in python.
- safetensors — no summary
- sage-analysis — Ingests, analyses, and plots SAGE data products.
- sails — Spectral Analysis In Linear Systems
- saipy — Deep learnig-based seismological application
- sangreal-odo — Data migration utilities
- sanpy-ephys — Whole cell current-clamp analysis.
- sapsan — Sapsan project
- sasdata — Sas Data Loader application
- satip — Satip provides the functionality necessary for
- satlas — This Python package has been created with the goal of creating an easier interface for the analysis of data gathered from laser spectroscopy experiments. Support for fitting the spectra, using both chi2-fitting and Maximum Likelihood Estimation routines, are present.
- satlas2 — Fitting package aimed at laser spectroscopy
- satnogs-client — SatNOGS Client
- satnogs-db — SatNOGS DB
- SaveBit — 对多个数据持久化包进行封装
- sbelt — A Markov-type numerical model of sediment particle transport in rivers
- sbvar — Varying parameter analysis for SBML models
- sc-dandelion — sc-TCR/BCR-seq analysis tool
- SC-search — Single-cell search tool
- sc3s — Python Single Cell Consensus Clustering
- scaaml — Side Channel Attack Assisted with Machine Learning
- scaden — Cell type deconvolution using single cell data
- scaling-analysis — Analysis of the dimensionality of neuronal population dynamics as a function of neuron number
- scanalignment — Scan Alignment of STXM images.
- scanpy — Single-Cell Analysis in Python.
- scArches — Transfer learning with Architecture Surgery on Single-cell data
- scArchest — Transfer learning with Architecture Surgery on Single-cell data
- scarf — Scarf
- scbean — integration
- scbig — scBiG for representation learning of single-cell gene expression data based on bipartite graph embedding
- sccross — Single cell multi-omics cross modal generation, multi-omics simulation and perturbation
- scdna-replication-tools — Code for analyzing single-cell replication dynamics
- scETM — Single cell embedded topic model for integrated scRNA-seq data analysis.
- scglue — Graph-linked unified embedding for unpaired single-cell multi-omics data integration
- schickit — a toolkit for processing single cell Hi-C data
- schnetpack — SchNetPack - Deep Neural Networks for Atomistic Systems
- SciANN — A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.
- SciANN-macos — A Keras/Tensorflow wrapper for scientific computations and physics-informed deep learning using artificial neural networks.
- sciapy — Python tools for (some) SCIAMACHY data
- scib — Evaluating single-cell data integration methods
- scida — Convenience wrapper around large scientific datasets to process with dask.
- scikit-allel — A Python package for exploring and analysing genetic variation data.
- scikit-chem — A set of python modules for cheminformatics
- scikit-digital-health — Python general purpose human motion inertial data processing package.
- scikit-surgerytf — scikit-surgerytf is a Python package for Tensor Flow examples and utilities
- scilpy — Scilpy: diffusion MRI tools and utilities
- scimba — This library implements some common tools for scientific machine learning
- scingestor — Scientific Catalog Tools
- scipion-em-emantomo — Plugin to use EMAN2 tomography programs within the Scipion framework
- scipion-em-flexutils — Tools for 3D visualization and manipulation of flexibility data
- scipp — Multi-dimensional data arrays with labeled dimensions
- scippneutron — Neutron scattering tools for Data Reduction
- scippnexus — An h5py-like utility for NeXus files with seamless Scipp integration