Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- sinergym — The goal of sinergym is to create an environment following OpenAI Gym interface for wrapping simulation engines for building control using deep reinforcement learning.
- singularitytechnologies.easymodelskeras — Easy to use Keras Machine Learning Model
- sionna — Sionna -- A TensorFlow-based open-source library for simulating the physical layer of wireless communication systems
- SiPANN — Artifical Neural Networks for use with Silicon Photonics
- siVAE — scalable and interpretable Variational Autoencoder
- SixAdsDS — Generic functions for SixAds data science projects
- skil — Train, deploy and manage your Python models with SKIL
- skip-thoughts — A pip installable version of skip_thoughts branched from tensorflow/research
- sklearn-genetic-opt — Scikit-lean models hyperparameters tuning, using evolutionary algorithms
- sklearn-plus — A set of python modules for Natural Language Processing
- sknlp — no summary
- skroute — Compute Routes easy and fast
- sktime-dl — Deep learning extension package for sktime, a scikit-learn compatible toolbox for learning with time series data
- skymapping-tools — A tool for sequence data classification
- skywatchai — An API Wrapper for powerful face detection, verification and recongition for python
- sldatasets — A single library to (down)load all existing sign language video datasets.
- sleap — SLEAP (Social LEAP Estimates Animal Poses) is a deep learning framework for animal pose tracking.
- sleepecg — A package for sleep stage classification using ECG data
- sleepkit — AI driven sleep monitoring kit for ultra low-power wearables.
- slideflow — Deep learning tools for digital histology
- slovene-accentuator — slovene accentuator
- smaplib — The `smaplib` package provides some useful similarity mapping related modeling functions
- smart-app-framework — Python-фреймворк, который позволяет создавать смартапы для виртуальных ассистентов Салют.
- smart-tfrecord-writer — A Python package to write TFRecord files easily and seamlessly into Tensorflow Datasets format.
- SmartAnno — A smart snippet annotation tool with deep learning backbone.
- smartboiler — Smart boiling of household
- smartpyml — smartpyml: A Comprehensive Machine Learning Library
- smarts — no summary
- smartsim — AI Workflows for Science
- smashpy — SMaSH: A scalable, general marker gene identification framework for single-cell RNA sequencing and Spatial Transcriptomics
- smeagol-bio — no summary
- smenan — Developed for Sade Tech. Corp.
- smic — Image Classification library built on top of Keras. Identifies the best set of hyperparameters and trains a classification model accordingly, hence, smart.
- smile-datasets — La**S**t **mile** datasets: Use `tf.data` to solve the last mile data loading problem for tensorflow.
- SmiToText — test processing
- smorfinder — A command line tool to identify and annotate small proteins in genomes and metagenomes.
- smote-variants — Variants of the synthetic minority oversampling technique (SMOTE) for imbalanced learning
- SNAF — A Python package to predict, prioritize and visualize splicing derived neoantigens, including MHC-bound peptides (T cell antigen) and altered surface protein (B cell antigen)
- snapshot-ensemble — Train TensorFlow Keras models with Cosine Annealing and save an ensemble of models with no additional computational expense.
- sng — Generate name proposals for companies, software, etc.
- snntoolbox — Spiking neural network conversion toolbox
- snowflake-ml-python — The machine learning client library that is used for interacting with Snowflake to build machine learning solutions.
- snvoter — A top up tool to enhance SNV calling from Nanopore sequencing data.
- so-ml-tools — Utilities library for TensorFlow
- social-net-img-classifier — no summary
- socialvec — SocialVec is a framework of Social Embeddings for eliciting social world knowledge from social networks.
- SODBASNET — BASNET model created using tensorflow.
- sokoban-rl — Application of reinforcement learning to the sokoban game
- solaris — CosmiQ Works Geospatial Machine Learning Analysis Toolkit
- somlib — This is python implementation for Kohonen Self Organizing map using numpy and tensor
- somnus — Somnus is keyword detection made easy.
- sonia — SONIA is a python 3.6 software developed to infer selection pressures on features of amino acid CDR3 sequences. The model can be used to calculate the probability of observing any sequence after selection and sample from the selected repertoire.
- sonnia — SoNNia is a Python 3 software developed to infer selection pressures on features of amino acid CDR3 sequences. SoNNia takes as input TCR CDR3 amino acid sequences with V and J genes. Its output is sequence-level selection factors which indicate how more or less represented this sequence would be in the selected pool as compared to the pre-selected pool. These in turn could be used to calculate the probability of observing any sequence after selection and sample from the selected repertoire.
- sonusai — Framework for building deep neural network models for sound, speech, and voice AI
- sony-custom-layers — Sony Custom Layers package
- sony-custom-layers-dev — Sony Custom Layers package
- sotaai — Stateoftheart AI Official Library
- soundpy — A research-based framework for exploring sound as well as machine learning in the context of sound.
- sourced-ml — Framework for machine learning on source code. Provides API and tools to train and use models based on source code features extracted from Babelfish's UASTs.
- sourced-ml-core — Library containing the core algorithms for machine learning on source code. Provides API and tools to train and use models based on source code features extracted from Babelfish's UASTs.
- space-datasets — Unified storage framework for machine learning datasets
- spacekit — Astronomical Data Science and Machine Learning Toolkit
- spacesense — Spacesense Client Library
- spacy-combo — COMBO wrapper for spaCy
- spacy-universal-sentence-encoder — SpaCy models for using Universal Sentence Encoder from TensorFlow Hub
- SpaDecon — SpaDecon: cell-type deconvolution in spatial transcriptomics with semi-supervised learning
- sparkflow — Deep learning on Spark with Tensorflow
- sparseml — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
- sparseml-nightly — Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
- sparx-lib — Sparx Implementation
- spateo-release — Spateo: multidimensional spatiotemporal modeling of single-cell spatial transcriptomics
- SpatialCluster — Spatial cluster package
- spec-augment — Tensorflow Layer that implements the SpecAugment technique
- SpectraClassify — SpectraClassify is a python package for zero code image classification within the browser
- spectrogram-to-audio — no summary
- spectrogrammer — a spectrogram generator and plotter for wav files
- spektral — Graph Neural Networks with Keras and TensorFlow.
- spherenet — Deep Hyperspherical Learning.
- sphinx-summaries — no summary
- spicesor — A library or package to slice sparse tensors with one, two, or three dimensions
- spider-st — Identifying spatially variable interactions
- spiderYa — Identifying spatially variable interactions
- spiegelib — Synthesizer Programming with Intelligent Exploration, Generation, and Evaluation Library
- spirograph — A tool to help building ML pipeline easier for non technical users..
- spleeter — The Deezer source separation library with pretrained models based on tensorflow.
- splinedist — splinedist
- spotfire-dsml — Toolkit for data science and machine learning built by Spotfire
- spotiphy — An integrated pipeline designed to deconvolute and decompose spatial transcriptomics data, and produce pseudo single-cell resolution images.
- spreco — Generative image priors for MRI image reconstruction
- sputummrcnn — Custom Mask RCNN
- spylind — Simple definition and fast solution of quantum systems described by a Lindblad master equation.
- ssu-tk — support custom tf.keras modules bundle for tensorflow v2.x
- stadion — Causal Modeling with Stationary Diffusions
- stardist-napari — Object Detection with Star-convex Shapes
- stellargraph — Python library for machine learning on graphs
- stellargraph-mvisani — Python library for machine learning on graphs
- stereoAlign — A toolkit package of data integration
- STL10 — Easy to use STL10
- stlearn — A downstream analysis toolkit for Spatial Transcriptomic data
- stn — Spatial Transformer Networks.