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Red Hat
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Stars
A programming framework for agentic AI 🤖
The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.
Ray is an AI compute engine. 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
Production-Grade Container Scheduling and Management
OpenShift Operator for binding Red Hat OpenShift Application Services
Utility for comparing two OpenAPI specifications.
Strongly typed compiled general purpose programming language that generates C++
OpenAPI Generator allows generation of API client libraries (SDK generation), server stubs, documentation and configuration automatically given an OpenAPI Spec (v2, v3)
golang survey tooling to fullfill JSON schema requirements
Podman: A tool for managing OCI containers and pods.
Lightning fast code searching made easy
Learn Go with test-driven development
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
🟠 A study guide to learn about Graph Neural Networks (GNNs)
Instant alarms and dashboards for Serverless, SAM, CDK and CloudFormation
dimakis / ICDAR-2019-SROIE
Forked from zzzDavid/ICDAR-2019-SROIEICDAR 2019 Robust Reading Challenge on Scanned Receipts OCR and Information Extraction
Vim-fork focused on extensibility and usability
Multi-Oriented Scene Text Detection via Corner Localization and Region Segmentation
A unofficial pytorch implementation of PAN(PSENet2): Efficient and Accurate Arbitrary-Shaped Text Detection with Pixel Aggregation Network
Text recognition (optical character recognition) with deep learning methods, ICCV 2019
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.