Checkpointing
Showing 11 of 11 projects
A lightweight library providing PyTorch training tools and utilities to simplify and standardize training loops.
An ActiveJob extension that makes background jobs interruptible and resumable by design, saving progress with checkpoints.
A pure Rust numerical optimization library offering a wide range of algorithms with a consistent, type-agnostic interface.
A Java client library for building scalable, fault-tolerant applications that consume and process data from Amazon Kinesis Data Streams.
A Node.js interface to the Amazon Kinesis Client Library for building distributed applications that process streaming data at scale.
A Sidekiq extension that makes long-running jobs interruptible and resumable with checkpointing.
A Go library for building stateful, multi-agent applications with LLMs, featuring parallel execution, persistence, and human-in-the-loop workflows.
A Ruby interface for the Amazon Kinesis Client Library, enabling developers to build robust streaming data applications.
A lightweight Python library for building reproducible machine learning pipelines with minimal interface constraints.
A .NET interface to the Amazon Kinesis Client Library MultiLangDaemon for building distributed streaming data applications.
A distributed platform for processing continuous unbounded streams of data with a clean API and fault tolerance.
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