Reverse Dependencies of ray

The following projects have a declared dependency on ray:

• chatnoir-pyterrier — Use the ChatNoir search engine in PyTerrier.
• 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.
• clusterops — Paper - Pytorch
• CNUfof-utils — Parallalization Friends Of Friends based on observation data.
• coax — Plug-n-play reinforcement learning with Gymnasium and JAX
• cobra-ai — Package to preprocess ontologies, train OntoVAE and COBRA models and obtain TF and pathway activities.
• 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.
• commonpower — A package for the exploration of safe single/multi-agent reinforcement learning in smart grids.
• comparative-judgement — A package for conducting Comparative Judgement
• composabl-train — a distributed trainer 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
• cornstarch — A multimodal model training toolkit
• cosmofoptscope — A tool for detecting and analyzing First Order Phase Transitions (FOPT) in cosmic evolution using the cosmoTransitions library.
• cotengra — Hyper optimized contraction trees for large tensor networks and einsums.
• cpa-tools — Compositional Perturbation Autoencoder (CPA)
• cpcat — A portable, scalable, and fast AI Data Lakehouse.
• 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.
• daft-launcher — A simple launcher for spinning up and managing Ray clusters for Daft.
• dagster-ray — Dagster integration library for Ray
• dagworks-sdk — DAGWorks SDK.
• daisyflcocdrlib — Daisy - A Hierarchical Friendly Federated Learning Framework For Edge Computing
• data-describe — A Pythonic EDA Accelerator for Data Science
• data-modori — LMOps Tool for Korean
• data-prep-lab — Data Preparation Laboratory Library
• data-prep-toolkit — Data Preparation Toolkit Library for Ray and Python
• data-prep-toolkit-ray — Data Preparation Toolkit Library for Ray
• datapipe-core — `datapipe` is a realtime incremental ETL library for Python application
• dawis — Detection Algorithm with Wavelet for Intracluster light Studies
• dbtunnel — Run app and get cluster proxy url for it in databricks clusters
• decalmlutils — Useful functions when working with Machine Learning in Python
• dedev — A simple Python library
• deepcomp — DeepCoMP: Self-Learning Dynamic Multi-Cell Selection for Coordinated Multipoint (CoMP)
• deephyper — Massively Parallel Hyperparameter Optimization for Machine Learning
• deepnlpf — A Framework for Integrating Linguistic Analysis and Semantic Annotation of Text Documents.
• deeppype — The AWS based Deep Learning Pipeline Framework
• deism — An image source-based method used to simulate room transfer functions for arbitrary room shapes.
• deltacat — A scalable, fast, ACID-compliant Data Catalog powered by Ray.
• deltacat-fork — A scalable, fast, ACID-compliant Data Catalog powered by Ray.
• deltaray — Delta reader for the Ray open-source toolkit for building ML applications
• diambra-arena — DIAMBRA™ Arena. Built with OpenAI Gym Python interface, easy to use, transforms popular video games into Reinforcement Learning environments
• dibb — DiBB: Distributing Black-Box optimization
• DiLLeMa — This repository contains a docker-compose file that can be used to run a Ray cluster on a single machine
• discern-reconstruction — Wasserstein Auto-Encoder for expression reconstruction
• discontinuitypy — A python package for identifying and analyzing discontinuities for time series data.
• distify — Easy wrapper for parallelizing Python executions
• distilabel — Distilabel is an AI Feedback (AIF) framework for building datasets with and for LLMs.
• distxml — Converts labeled data to xml format
• Djaizz — Artificial Intelligence (AI) in Django Applications
• dlrover — An Automatic Distributed Deep Learning Framework
• docsrag — Generates evaluation dataset for fine-tuning LLM
• doframework — A testing framework for decision optimization model learning algorithms.
• dplutils — no summary
• dpm360-lightsaber — Package to handle model training for dpm tasks
• dreamai-ray — DreamAI platform leveraging RAY.
• drevalpy — Drug response evaluation of cancer cell line drug response models in a fair setting
• drl-model — DRL logic
• dw-hamilton-sdk — Hamilton SDK for reading and writing to the Hamilton backend APIs that support the UI.
• e2clab — Your Edge-to-Cloud laboratory
• eapy — Evolutionary Algorithm for Python
• easycv — Computer Vision made easy
• easyvllm — Easy to use lightweight vllm tool with special support for Large Reasoning Model (LRM).
• eclypse — an Edge-CLoud pYthon Platform for Simulated runtime Environments
• econml — This package contains several methods for calculating Conditional Average Treatment Effects
• effective-horizon — Code for the NeurIPS 2023 paper "Bridging RL Theory and Practice with the Effective horizon" and the ICLR 2024 paper "The Effective Horizon Explains Deep RL Performance in Stochastic Environments".
• efficient-det — Efficient-Det Implementation in Keras
• eformer — (EasyDel Former) is a utility library designed to simplify and enhance the development in JAX
• eiffel-framework — Evaluation Framework for FL-based intrusion detection using Flower.
• encdecmeta — A meta search space for encoder decoder networks.
• enigmx — enigmx package
• eo-grow — Earth observation framework for scaled-up processing in Python
• eo-learn — Earth observation processing framework for machine learning in Python
• eo-learn-core — Core Machine Learning Framework at Sinergise
• eprllib — Building control trought DRL.
• eqcctpro — EQCCTPro: A powerful seismic event detection toolkit
• evadb — EvaDB AI-Relational Database System
• evafs — A storage system middleware
• evolvepy — EvolvePy is a Python module created to allow the easy creation and execution of evolutionary algorithms.
• evotorch — EvoTorch is an advanced evolutionary computation library built directly on top of PyTorch, created at NNAISENSE.
• ezray — A simple implementation of the ray framework for method agnostic task paralellization.
• faddr — Tool to parse configuration of network devices such as Juniper routers and store gathered data in database