Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- sentiment-analysis — Sentiment analysis for paragraph or sentence
- sentiment-analysis-csci-e89 — Package for end to end setiment analysis using Neural Architectures
- sentimentmodel — Sentiment analysis model
- sentinex — Sentinex: A high level interface aimed towards rapid prototyping and intuitive workflow for JAX.
- seq2annotation — seq2annotation
- seq2label — seq2label
- seq2seq-lstm — Sequence-to-sequence classifier based on LSTM with the simple sklearn-like interface
- seq2vec — A package to turn sequence of words into a fix-length representation vector
- seqeval — Testing framework for sequence labeling
- seqiolib — Library to read, write sequence, variants, regions to use them for training of machine learning algorithms.
- sequence-unet — Make protein predictions with Sequence UNET and train new models
- sequential-ft-transformer — FT Transformer applied to sequential tabular data
- SeREGen — Automated, cross-platform Representative Embedding generation.
- sert — SERT Python Package
- serval-ml-commons — SerVal Machine learning commons is a tools box that ease the development of ML experiments at SerVal.
- servir-aces — Agricultural Classification and Estimation Service (ACES)
- sfaira — sfaira is a model and a data repository for single-cell data in a single python package.
- SFcalculator-tf — A Differentiable pipeline connecting molecule models and crystallpgraphy data
- SfMLearner-installable — Fork of the original SfMLearner with a setup.py file for installation with pip.
- sforecast — A framework for running forecasting models within a sliding/expanding window out-of-sample forecast fit (train/test) and prediction (forecasts). The package includes support of classical forecasting models, SK Learn supervised learning ML models, and TensorFlow deep learning models.
- sfu-ml-lib — Libraries that support the development of machine learning models in TensorFlow.
- sfu-tf-lib — Libraries that support the development of machine learning models in TensorFlow.
- shadowCut — Deep Learning Library to speed up the coding process
- shafts — Simultaneous building Height And FootprinT extraction from Sentinel Imagery
- shallowgibbs-doublebackpropagation — Shallow Gibbs Double Backpropagation
- shap — A unified approach to explain the output of any machine learning model.
- shapeandshare-dicebox-core — Dicebox Core
- shapeguard — ShapeGuard is a tool to help with handling shapes in Tensorflow.
- shapsplain — Wrapper for shapley explanations
- sharpcosine — no summary
- shbtf0302 — State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch
- shdw-node-stats — A tool to fetch and record ShadowDrive node statistics from an API and save them to a CSV file.
- shengtengconverter — A simple converter for Shengteng
- shinherpro — shinher-pro 1.7.3
- SHiNiNG — The easiest and powerful deep-learning-text-classifier based on keras and gensim for human beings and all purposes.
- ShortTextClustering — ITER-DBSCAN Implementation for unbalanced short text and numerical data clustering
- shrinemaiden — An auxiliary library to help process data for ML/DL purposes
- shrub — Better Experience of Developping Deep Learning Systems
- sibyl-ai — Wrapper for SKLearn Pipeline with Auto ML features
- sign-language-datasets — TFDS Datasets for sign language
- signal-transformation — The package allows performing a transformation of a signal using TensorFlow, Pytorch or LibROSA
- SignLanguageRecognition — Sign Language Recognition tool.
- signxai — SIGNed explanations: Unveiling relevant features by reducing bias
- simbolo-mpst — Simbolo Multilingual Partial-syllable Tokenizer
- simbolotokenizer — Multilingual Partial Syllable Tokenization - A rule-based tokenization method designed to align with linguistic nuances while minimizing False Positive errors.
- simelixir — A Python package for 1-D blood flow simulation
- simhandler — Intelligent simulation handler for power system load flow simulations
- simmpst — Simbolo Multilingual Partial-syllable Tokenizer
- simple-commands-model — simple_commands_model
- simple-elmo — Handy library to work with pre-trained ELMo embeddings in TensorFlow
- simple-tensorflow-serving — The simpler and easy-to-use serving service for TensorFlow models
- simplebert — A package for transformer based NLP models.
- simplegan — Framework to ease training of generative models based on TensorFlow
- simplemaml — A generic Python and TensorFlow function that implements a simple version of the "Model-Agnostic Meta-Learning (MAML) Algorithm for Fast Adaptation of Deep Networks" as designed by Chelsea Finn et al. 2017
- simpleml — Simplified Machine Learning
- sincomp — A toolset for computation and comparison of Chinese dialects
- 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
- 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.
- 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.