Malicious URLs identified by scanning various public URL sources using the Google Safe Browsing API (over 6 billion URLs scanned daily)
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Updated
Jun 1, 2024
Malicious URLs identified by scanning various public URL sources using the Google Safe Browsing API (over 6 billion URLs scanned daily)
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
A toolkit to run Ray applications on Kubernetes
Write local debuggable Python which traverses your powerful remote infra. Deploy as-is. Unobtrusive, unopinionated, PyTorch-like APIs.
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
an open-sourced highly automated machine learning Python framework for data-driven geochemistry discovery
A next-generation dynamic and high-performance language for AI and IOT with natural born distributed computing ability.
One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)
Unified Distributed Execution
DoEKS is a tool to build, deploy and scale Data & ML Platforms on Amazon EKS
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
RayLLM - LLMs on Ray
pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, Neptune, OpenSearch, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).
Additional stoppers for ray tune
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
production grade ml app using ray
Distributed GPU-Accelerated Framework for Evolutionary Computation. Comprehensive Library of Evolutionary Algorithms & Benchmark Problems.
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