Reverse Dependencies of sphinx-markdown-tables

The following projects have a declared dependency on sphinx-markdown-tables:

• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• adapters — A Unified Library for Parameter-Efficient and Modular Transfer Learning
• airstorm — A Python ORM for Airtable.
• aliceoverwatch — ALICE OVERWATCH: Online Monitoring via the HLT
• alphalens-reloaded — Performance analysis of predictive (alpha) stock factors
• alphalens-tej — Performance analysis of predictive (alpha) stock factors
• ansitable — Quick and easy display of tabular data and matrices with optional ANSI color and borders
• array-api-stubs — Stubs for the array API standard
• autolingua — autolingua description
• autonlp — HuggingFace/AutoNLP
• autotrain-advanced — no summary
• bdsim — Simulate dynamic systems expressed in block diagram form using Python
• blu-blade — Hardware Design, Exploration, and Code Generation for SoC Designers
• blu-blade-templating — Templating Engine for Generating Hardware from BLADE Output Blobs Based on Mako
• c7n-sphinxext — Cloud Custodian - Sphinx Extensions
• camazing — Machine vision library for GenICam-compliant cameras
• cirq-dev — A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
• cirq-unstable — A framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• composer — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• cubids — Curation of BIDS (CuBIDS): A sanity-preserving software package for processing BIDS datasets.
• cuddly-octo-funicular — no summary
• data-ecosystem-dependencies — Data Ecosystem Dependencies - Python (PADE)
• data-ecosystem-python — Program Agnostic Data Ecosystem (PADE) - Python Services
• data-ecosystem-services — Program Agnostic Data Ecosystem (PADE) - Python Services
• davt-dependencies-python — Data, Analytics and Visualization Templates (DAVT) - Python Dependencies
• davt-services-python — Data, Analytics and Visualization Templates (DAVT) - Python Services
• DeBERTa — Decoding enhanced BERT with Disentangled Attention
• deepair — PyTorch implementations of Deep reinforcement learning algorithms.
• deepmd-kit — A deep learning package for many-body potential energy representation and molecular dynamics
• deepmd-kit-cu11 — A deep learning package for many-body potential energy representation and molecular dynamics
• DEERPREdict — A package for DEER and PRE predictions based on molecular dynamics ensembles. Can be installed with pip.
• designformat — A Cross-Language Interchange Format for Hardware Description Based on JSON
• diffuzers — diffuzers
• doweb — KLayout API implementation of gdsfactory
• dsms-sdk — Python SDK core-package for working with the Dataspace Management System (DSMS).
• empyrical-reloaded — empyrical computes performance and risk statistics commonly used in quantitative finance
• erniebot — Python library for the ERNIE Bot
• espnet — ESPnet: end-to-end speech processing toolkit
• espressodb — Science database interface using Django as the content manager.
• faknow — A unified library for fake news detection.
• fastface — A face detection framework for edge devices using pytorch lightning
• flask_simplelogin — Flask Simple Login - Login Extension for Flask
• FRETpredict — A package for FRET Efficiency prediction of protein structures and trajectories, based on the Rotamer Library Approach (RLA). Can be installed with pip.
• funasr — FunASR: A Fundamental End-to-End Speech Recognition Toolkit
• funcodec — FunCodec: A Fundamental, Reproducible and Integrable Open-source Toolkit for Neural Speech Codec
• gemgis — Spatial data processing for geomodeling
• ghapi-client — Python client for the GitHub API
• gitalong — Git without conflicts.
• goes2go — Retrieve GOES Satellite data from AWS. Also proves some RGB recipes.
• GPS-mapping — Genetics-informed pathogenic spatial mapping
• gsMap — Genetics-informed pathogenic spatial mapping
• herbie-data — Download numerical weather prediction GRIB2 model data.
• hetdex-api — Tools to deal with HETDEX data releases
• imix — multimodal deep learning framework
• jax-flows — Normalizing Flows for JAX
• jshbtf0302 — State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
• kedro-boot — A kedro plugin that streamlines the integration between Kedro projects and external applications, making it easier for you to develop production-ready data science applications.
• kedro-mlflow — A kedro-plugin to use mlflow in your kedro projects
• kedro-pandera — A kedro plugin to use pandera in your kedro projects
• kennard-stone — A method for selecting samples by spreading the training data evenly.
• kweb — KLayout API implementation of gdsfactory
• LASER — A toolkit for large scale distributed training
• light-side — PyTorch Lightning Implementations of Recent Low-Light Image Enhancement !
• machinevision-toolbox-python — Python tools for machine vision - education and research
• materials-learning-algorithms — Materials Learning Algorithms. A framework for machine learning materials properties from first-principles data.
• ml-research — Implementation of Machine Learning algorithms, experiments and utilities.
• modeci-mdf — ModECI (Model Exchange and Convergence Initiative) Model Description Format
• modelspec — A common JSON/YAML based format for compact model specification
• mosaicml — Composer is a PyTorch library that enables you to train neural networks faster, at lower cost, and to higher accuracy.
• mosaicml-cli — Interact with Databricks Mosaic AI training from python or a command line interface
• mvdate — Move files to directories based on created date
• mw-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• nextstrain-augur — A bioinformatics toolkit for phylogenetic analysis
• nextstrain-cli — Nextstrain command-line tool
• nlp — HuggingFace/NLP is an open library of NLP datasets.
• ontologysim — no summary
• openmim — MIM Installs OpenMMLab packages
• openprotein — Open-Protein is an open source pre-training platform that supports multiple protein pre-training models and downstream tasks.
• outputscouting — Implementation of the Output Scouting technique proposed in [TBD].
• paddlenlp — Easy-to-use and powerful NLP library with Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Neural Search, Question Answering, Information Extraction and Sentiment Analysis end-to-end system.
• paddlespeech — Speech tools and models based on Paddlepaddle
• pade-python — Program Agnostic Data Ecosystem (PADE) - Python Services
• pade-python-dependencies — Program Agnostic Data Ecosystem (PADE) - Python Dependencies
• paos — PAOS, the Physical Optics Simulator, is a fast, modern, and reliable Python package for Physical Optics studies. It implements Physical Optics Propagation in Fresnel approximation and paraxial ray tracing to analyze complex waveform propagation through both generic and off-axes optical systems.
• petab — Parameter estimation tabular data
• petab-MS — Parameter estimation tabular data for multi-scale models
• petab-select — PEtab Select: an extension to PEtab for model selection.
• pgfinder — Peptidoglycan analysis
• pyabsa — This tool provides the state-of-the-art models for aspect term extraction (ATE), aspect polarity classification (APC), and text classification (TC).
• pyaligner — Automatic audio transcriptor and audi-text aligner
• pyclarity — Tools for the Clarity Challenge
• pyfolio-reloaded — pyfolio is a Python library for performance and risk analysis of financial portfolios
• pyfolio-tej — Performance and risk analysis of financial portfolios with Python
• pylocron — Modules, operations and models for computer vision in PyTorch
• python-doctr — Document Text Recognition (docTR): deep Learning for high-performance OCR on documents.
• pytorch-widedeep — Combine tabular data with text and images using Wide and Deep models in Pytorch
• qiboconnection — Python interface to Qilimanjaro's Services for quantum job executions.
• qilimanjaro-portfolio — Qilimanjaro Portfolio Library
• qilimanjaroq-client — Qilimanjaro client library to connect to the Qilimanjaro Quantum Service and use their devices