Reverse Dependencies of tensorflow
The following projects have a declared dependency on tensorflow:
- rddlgym — rddlgym: A toolkit for working with RDDL domains in Python3.
- readyml — ReadyML - Easy and Ready Machine Learning.
- realbook — Realbook, a library to make using audio on TensorFlow easier.
- reaver — Reaver: Modular Deep Reinforcement Learning Framework. Focused on StarCraft II. Supports Gym, Atari, and MuJoCo. Matches reference results.
- recogym — Open-AI gym reinforcement learning environment for recommendation
- recommender-pkg — A small recommender package
- recommenders — Microsoft Recommenders - Python utilities for building recommender systems
- recsim — RecSim: A Configurable Recommender Systems Simulation Platform
- recsim-ng — RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
- redvox-base — Specifies base dependencies used by multiple RedVox, Inc projects.
- refitt — The Recommender Engine for Intelligent Transient Tracking.
- reggy — Python package for regularized regressions.
- ReiL — no summary
- reinforced-lib — Reinforcement learning library
- reinforcement — A reinforcement learning module
- reinforcement-learning-keras — no summary
- reluMIP — Embed tensorflow ReLU neural networks in MIP optimization problems.
- renn — Research tools for Reverse Engineering Neural Networks (RENN).
- reorientexpress — Script used to build, test and use models that predict the orientation of cDNA reads
- replay-monitor — A tool for easy data exploration in reinforcement learning environments.
- resnet-models — The package contains ResNet architectures which were developed on TensorFlow
- resuber — Software toolbox to re-synchronize and/or translate SRT subtitles from a movie.
- retina-face — RetinaFace: Deep Face Detection Framework in TensorFlow for Python
- retsim-pytorch — no summary
- retvec — Resilient and Efficient Text Vectorizer
- rexify — Streamlined Recommender System workflows with TensorFlow and Kubeflow
- rfcxtf — Support for building TensorFlow classifiers on Arbimon and Guardian platforms
- rid-kit — RiD package for enhanced sampling
- riid — Machine learning-based models and utilities for radioisotope identification
- rikai — no summary
- rikai-tfhub — no summary
- ringkasan — no summary
- riskcore — Python Machine Learning Library for Financial Risk Management
- rknn-toolkit2 — rknn
- rl-toolkit — RL-Toolkit: A Research Framework for Robotics
- RLDQN — Asynchronous DQN
- rlds — A Python library for Reinforcement Learning Datasets.
- rlearn — reinforcement learning algorithms in python
- rlfw — Reinforcement Learning Framework
- rlgraph — A Framework for Modular Deep Reinforcement Learning
- rlmolecule — Reinforcement learning for molecular optimization
- RMDL — RMDL: Random Multimodel Deep Learning for Classification
- rnasamba — A tool for computing the coding potential of RNA transcript sequences using deep learning.
- rnnt — rnnt is a python package for RNN-Transducer loss in TensorFlow==2.0.
- roar-yolo — Ultralytics YOLOv8
- robo-transformers — RT-1, RT-1-X, Octo Robotics Transformer Model Inference
- roboidai — Python Package for Roboid AI
- robotframework-imagedetection — Image detection for Robot-Framework
- RobustifyToolkit — Robustify:
- robustnessgym — Robustness Gym is an evaluation toolkit for machine learning.
- roby — A general framework to analyse the robustness of a Neural Network
- rocks-classifier — Rock classifier deployed on railway and monitored using Weights and Biases!
- rodan — Advanced Deep Learning Library
- rofunc — Full-process robot learning from demonstration package
- rosa-robot — Rosa robot Python API
- rosey-keras — no summary
- ross-ml — ross-machine-learning
- RPAwithComputerVision — This is code with package
- rpi-deep-pantilt — An example of deep object detection and tracking with a Raspberry Pi, PiCamera, and Pimoroni Pantilt Hat
- rsnsfw — Reckonsys NSFW fork
- rstojnic-tfds-nightly — tensorflow/datasets is a library of datasets ready to use with TensorFlow.
- rt-pie — Real Rime PItch Estimator
- rtst — no summary
- ru-proverbs — Russian Proverbs AI-powered proverbs generator.
- run-stardist — Train and use StarDist models
- runml-infuse — Algorithms for outlier detection, concept drift and metrics.
- russtress — Package that helps you to put lexical stress in russian text
- rxhands-unam-colab — Labeling of finger landmarks in hand xrays.
- ryakugo-pkg — ExactTarget CLI Tool
- s3-connection — A package with functions for reading/writing different file types from/to AWS S3 storage. It is essentially a wrapper for the s3fs package.
- safetensors — no summary
- sagasu — sagasu is search all my contents
- sage-importance — For calculating global feature importance using Shapley values.
- sagemaker-huggingface-inference-toolkit — Open source library for running inference workload with Hugging Face Deep Learning Containers on Amazon SageMaker.
- sail — Python package for streaming data and incremental learning
- saipy — Deep learnig-based seismological application
- saliency — Framework-agnostic saliency methods
- salure-tfx-extensions — TFX components, helper functions and pipeline definition, developed by Salure
- sam — Time series anomaly detection and forecasting
- sandblox — Declarative programming framework for graph computing libraries
- sanye123 — a package for your bert using
- sarwaveifrproc — Python library to generate Level-2 WAVE Product starting from Ifremer Level-1B or Level-1C SAR files
- satsim — Satellite observation and scene simulator.
- sbb-binarization — Pixelwise binarization with selectional auto-encoders in Keras
- sbhelp — Suraj Bherwani's helper function
- sbijax — Simulation-based inference in JAX
- sbml2hyb — sbml2hyb is a Pyton tool for SBML compatible hybrid modelling.
- sbnltk — Bangla NLP toolkit
- sc-libra — LIBRA package
- sc-permut — Deep learning annotation of cell-types with permutation inforced autoencoder
- scAAnet — An implementation of nonlinear archetypal analysis on single-cell RNA-seq data through autoencoder
- scaden — Cell type deconvolution using single cell data
- scaespy — scAEspy: a tool for autoencoder-based analysis of single-cell RNA sequencing data
- scalarstop — A framework for managing machine learning experiments.
- scalifiai-client — SCALIFI AI NO CODE PLATFORM
- scalingtheunet — This project is the source code to our paper.
- scbean — integration
- scCODA — A Dirichlet-Multinomial approach to identify compositional changes in count data.
- scDREAMER — scDREAMER is a single-cell data integration framework that employs a novel adversarial variational autoencoder for learning lower-dimensional cellular embeddings and a batch classifier neural network for the removal of batch effects.
- scikeras — Scikit-Learn API wrapper for Keras.