Showing 181-200 of 382 projects
A PyTorch-based computer vision foundation model with deformable convolutions for object detection and segmentation.
A unified framework for large-scale data computation that scales popular Python data tools like NumPy, Pandas, and Scikit-Learn.
A basic document (NoSQL) database implementation in Go, suitable for small-scale projects.
Deepnote is an AI-first Jupyter notebook replacement with real-time collaboration, deployable data apps, and native data integrations.
An enhanced, fault-tolerant HTTP client library for Go developers building robust, scalable distributed systems.
An efficient multi-scale object detection training and inference algorithm for computer vision tasks.
Juju is a powerful orchestration engine for deploying and managing applications on Kubernetes or any infrastructure.
Open-source agent-based simulation framework for large-scale AI societies and language model experiments
A user-friendly launcher for Bazel, a powerful build tool used in large-scale software development.
A diverse and well-annotated dataset for license plate detection and recognition
This Ruby project is a large-scale server deployment tool that uses BitTorrent and BitTornado, but is no longer maintained.
Middleware for TrueNAS, an open-source storage operating system with support for various protocols and storage features.
A lightweight, zero-dependencies utility for scaling UI across different sized devices in React Native apps.
A Rust library for advanced fuzzing, providing a scalable and flexible framework for building custom fuzzers.
A comprehensive iOS library for building stock charts and technical indicators like MACD, KDJ, Boll, etc.
A Xcode plugin that automatically generates 2x, 1x images from 3x images or upscales 2x to 3x for developers.
GitHub Load Balancer Director and supporting tooling for managing large-scale GitHub infrastructure.
A large-scale pretrained dialogue model for building conversational AI applications.
Hamilton is an open-source ETL framework that helps data scientists and engineers build modular, testable dataflows with lineage and metadata.
Accelerates production deployment of AI agents with scale, reliability, and security via the Amazon Bedrock Agentcore.
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