Reverse Dependencies of ray

The following projects have a declared dependency on ray:

• ablator — Model Ablation Tool-Kit
• ablator-ken-test — Model Ablation Tool-Kit
• ablator-ken-test2 — Model Ablation Tool-Kit
• ablator-ken-test3 — Model Ablation Tool-Kit
• abmarl — Agent Based Simulation and MultiAgent Reinforcement Learning
• active-transformers — Active Learning for Transformer with focus on Sequence Tagging tasks
• actorch — Deep reinforcement learning framework for fast prototyping based on PyTorch
• adaptdl-ray — Dynamic-resource trainer and scheduler for deep learning
• adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• agent-actors — a proof-of-concept inspired by BabyAGI, the Plan-Do-Check-Adjust (PDCA) cycle, and the actor model of concurrency
• aglite-test.core — AutoML for Image, Text, and Tabular Data
• ai-transform — no summary
• aiearth-predict — AIEarth Spatio-temporal data and AI development kit
• aineko — Aineko, a data integration framework.
• airflow-provider-ray — An Apache Airflow provider for Ray
• airflow-ray-executor — Airflow executor implemented using ray
• aisfx — Representation Learning for the Automatic Indexing of Sound Effects Libraries (ISMIR 2022): Deep audio embeddings pre-trained on UCS & Non-UCS-compliant datasets.
• aladindb — 🔮 Super-power your database with AI 🔮
• alibi — Algorithms for monitoring and explaining machine learning models
• alluxiofs — Alluxio Fsspec provides Alluxio filesystem spec implementation.
• alpa — Alpa automatically parallelizes large tensor computation graphs and runs them on a distributed cluster.
• alpyperl — An open source library for connecting AnyLogic models with Reinforcement Learning frameworks through OpenAI Gymnasium
• aMGSIM — aMGSIM: simulate ancient metagenomes for multiple synthetic communities
• anticor-features — Anti-correlation based feature selection for single cell datasets
• anyscale — Command Line Interface for Anyscale
• apteryx — Utilities and useful things for Apteryx Labs
• aquacropgym — openai-gym crop simulation environment
• archai — Platform for Neural Architecture Search
• argus-rico — Transient alert generation and database interaction for Argus and Evryscope
• aspire — Algorithms for Single Particle Reconstruction
• atom-ml — A Python package for fast exploration of machine learning pipelines
• auto-clustering — Automatic Clustering selection with Ray Tune
• auto-coder — AutoCoder: AutoCoder
• autogenesis — A simple Python library
• autogluon.bench — A benchmarking tool for AutoML
• autogluon.cloud — Train and deploy AutoGluon backed models on the cloud
• autogluon.core — Fast and Accurate ML in 3 Lines of Code
• autogluon-tonyhu-test.core — AutoML for Image, Text, and Tabular Data
• automlkiller — Auto machine learning, deep learning library in Python.
• autonomi-nos — Nitrous oxide system (NOS) for computer-vision.
• AutoRAG — Automatically Evaluate RAG pipelines with your own data. Find optimal structure for new RAG product.
• autotonne — Auto machine learning, deep learning library in Python.
• awswrangler — Pandas on AWS.
• ax-platform — Adaptive Experimentation
• bark-simulator — A tool for Behavior benchmARKing
• basenet-api — Basenet API: A simpler way to build ML models.
• baygaud — profile decomposition tool
• beam-ds — Beam Datascience package
• beobench — Beobench is a toolkit providing easy and unified access to building control environments for reinforcement learning (RL).
• beta-rec — Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems
• bfast-ray — The bfast-ray package provides a highly-efficient parallel implementation for the `Breaks For Additive Season and Trend (BFASTmonitor) proposed by Verbesselt et al. The implementation is based on Ray
• bigdl-chronos — Scalable time series analysis using AutoML
• bigdl-chronos-spark2 — Scalable time series analysis using AutoML
• bigdl-chronos-spark3 — Scalable time series analysis using AutoML
• bio-pyminer — PyMINEr: automated biologic insights from large datasets.
• bio-pyminer-norm — PyMINEr Norm: A normalization package for scRNAseq
• bio-transformers — Wrapper on top of ESM/Protbert model in order to easily work with protein embedding
• biome-text — Biome-text is a light-weight open source Natural Language Processing toolbox built with AllenNLP
• blades — A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated Learning
• blazectl — no summary
• boltzmann-policy-distribution — Code for the ICLR 2022 paper "The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human Models"
• boppf — Bayesian optimization of particle packing fractions.
• btrdb — Bindings to interact with the Berkeley Tree Database using gRPC.
• buildflow — BuildFlow, is an open source framework for building large scale systems using Python. All you need to do is describe where your input is coming from and where your output should be written, and BuildFlow handles the rest.
• capcruncher — An end-to-end solution for processing Capture-C, Tri-C and Tiled-C data
• CASCADe-filtering — CASCADe filtering: Calibration of trAnsit Spectroscopy using CAusal Data filtering module.
• CASCADe-jitter — CASCADe-jitter: Calibration of trAnsit Spectroscopy using CAusal Data jitter detection module.
• CASCADe-spectroscopy — CASCADe : Calibration of trAnsit Spectroscopy using CAusal Data
• cdst — Calvin's Data Science Toolbox
• CFEDemands — Tools for estimating and computing Constant Frisch Elasticity (CFE) demands.
• chanalyze — A simple WhatsApp Chat Analyzer ( for both Private & Group chats ), made with <3
• chemprop — Molecular Property Prediction with Message Passing Neural Networks
• chicken-coop — An environment for reproducing dominance hierarchies in RL agents
• ChiMera-GSMR — ChiMera: An easy-to-use pipeline for Genome-based Metabolic Network reconstruction, evaluation, and visualization.
• ChiMera-ModelBuilder — ChiMera: An easy-to-use pipeline for Genome-based Metabolic Network reconstruction, evaluation, and visualization.
• chunkyp — Ray-based preprocesisng pipeline.
• cinet — Scikit-Learn interface for CINET PyTorch siamese neural network
• civrealm — CivRealm is an interactive environment for AI agents for the open-source strategy game Freeciv with the Freeciv-web client.
• class-resolver — Lookup and instantiate classes with style.
• coax — Plug-n-play reinforcement learning with Gymnasium and JAX
• codeflare — Codeflare pipelines
• codeflare-sdk — Python SDK for codeflare client
• codeflare-torchx — TorchX SDK and Components
• cody-adapter-transformers — A friendly fork of HuggingFace's Transformers, adding Adapters to PyTorch language models
• cogflow — cog modules
• colossalai-nightly — An integrated large-scale model training system with efficient parallelization techniques
• combnetdep — Dependencies for Combnet.
• composabl-ray — a distributed runtime to be able to train agents across a cluster of machines
• composabl-ray-dev — a distributed runtime to be able to train agents across a cluster of machines
• composabl-train-dev — a distributed trainer to be able to train agents across a cluster of machines
• composable-logs — no summary
• composable-logs-snapshot — no summary
• cords — cords is a package for data subset selection for efficient and robust machine learning.
• corider — Tiny configuration library tailored for Deep Learning project and the Ride.
• corl — Core ACT3 Reinforcement Learning (RL) Library - Core framework and base implementations of common things such as controllers, glues, observes, sensors, evaluation, and etc
• cotengra — Hyper optimized contraction trees for large tensor networks and einsums.
• cpa-tools — Compositional Perturbation Autoencoder (CPA)
• cpprb — ReplayBuffer for Reinforcement Learning written by C++ and Cython
• cqi-rl — A C++ implementation of Conservative Q-Improvement
• CurriculumAgent — CurriculumAgent is a cleanup and improved version of the NeurIPS 2020 Competition Agent by Binbinchen.The agent is build to extract action sets of the Grid2Op Environment and then use rule-based agent to train a Reinforcement Learning agent.