Reverse Dependencies of ray

The following projects have a declared dependency on ray:

• tensoraerospace — Open source deep learning framework that focuses on aerospace objects (rockets, planes, UAVs)
• test-data-modori — LMOps Tool for Korean
• texteller — A meta-package for installing dependencies
• tfne — A modular Neuroevolution framework for Tensorflow models
• thetaspaceray — Batched SpaceRay tuning.
• thirdai — A faster cpu machine learning library
• threads-arg — Highly scalable inference of ancestral recombination graphs (ARGs)
• thu-big-data-ml — 这是本人学习清华大学70240403-200大数据机器学习课程的开源工作，包括对往期Assignment的实现、对Lecture的笔记与理解、对即将来的Project的实现等，欢迎各位同学一起学习一起讨论，对知识取得更好的理解。
• tinyagents — A tiny, lightweight and unintrusive library for orchestrating agentic applications.
• TitanOmics — A comprehensive multi-omics data analysis pipeline.
• topaisdk — topai python sdk
• torch-nos — Nitrous Oxide for your AI Infrastructure.
• torchx — TorchX SDK and Components
• torchx-applovin — TorchX SDK and Components
• torchx-nightly — TorchX SDK and Components
• trademaster406 — TradeMaster - A platform for algorithmic trading
• trails-rivasiker — Tree reconstruction of ancestry using incomplete lineage sorting
• trainy — Trainy: An observability tool for profiling PyTorch training on demand
• trainy-skypilot-nightly — SkyPilot: An intercloud broker for the clouds
• transformers — State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow
• trapile — A simple Python library
• tsfast — A description of your project
• tune-sklearn — A drop-in replacement for Scikit-Learn's GridSearchCV / RandomizedSearchCV with cutting edge hyperparameter tuning techniques.
• turbo-c2 — no summary
• txp — Txp is the main Python Package from Tranxpert predictive maintenance solution
• typed-ray — Mypy plugin to add support for type checking ray objects.
• tytorch — Based on a fork of the amazing mltrainer and mads_datasets by R. Grouls, tytorch is an opinionated base for working with data for and training with pytorch.
• uatrack — Uncertainty-Aware Tracking Framework.
• uberlimb — Generative art with CPPN networks.
• ultra-rl — Unprotected Left Turn for Robust Agents
• underdoc — UnderDoc Python SDK
• unidist — Unified Distributed Execution
• uniscale — uniscale provides universal APIs for distributed Python applications.
• UOFC-SOAR — A simulation package for aerospace research
• vec-inf — Efficient LLM inference on Slurm clusters using vLLM.
• vectorbt — Python library for backtesting and analyzing trading strategies at scale
• verifai — A toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.
• verl — verl: Volcano Engine Reinforcement Learning for LLM
• vertexai — Please run pip install vertexai to use the Vertex SDK.
• vflow — A framework for doing stability analysis with PCS.
• vineyard-ray — Vineyard integration with Ray
• virtualcity — Python API to communicate with the VirtualCity environment
• vistudio — sdk in python for annotation
• vistudio-annotation — sdk in python for annotation
• vistudio-datasource — sdk in python for vistudio datasource
• vistudio-image-analysis — sdk in python for vistudio-image-analysis
• vllm-npu — A high-throughput and memory-efficient inference and serving engine for LLMs
• wandb-osh — Trigger wandb offline syncs from a compute node without internet
• wannierberri — Advanced tool for Wannier interpolation
• webdataset — High performance storage and I/O for deep learning and data processing.
• webdatasetng — High performance storage and I/O for deep learning and data processing.
• webshooter — Python package for almost all web scraping scenarios.
• whyqd — data wrangling simplicity, complete audit transparency, and at speed
• wids — High performance storage and I/O for deep learning and data processing.
• xconf — Turns TOML files and command-line arguments into dataclasses for config
• xflow-api — python package for xflow
• xfuser — A Scalable Inference Engine for Diffusion Transformers (DiTs) on Multiple Computing Devices
• xgboost-ray — A Ray backend for distributed XGBoost
• xinfer — Framework agnostic computer vision inference. Run 1000+ models by changing only one line of code. Supports models from transformers, timm, ultralytics, vllm, ollama and your custom model.
• xorbits — Scalable Python data science, in an API compatible & lightning fast way.
• xoscar-ray — Xoscar on Ray.
• xpipeline — The eXtreme (and eXtensible) pipeline for analysis of high contrast imaging and spectroscopy data
• zerocopy — Zero-copy model loading for PyTorch and Ray.
• zhmiscellany — A collection of useful/interesting python libraries made by zh.