Showing 221-240 of 240 projects
A web development platform built entirely in PostgreSQL, providing a powerful API, event system, and semantic data model.
A simple, semantic and developer-friendly crypto package for Golang developers
A template for building modern, high-quality Python packages with best practices and tooling.
Contextualise is a powerful tool for organizing diverse information resources in knowledge-intensive projects.
Implementation of SegNet, a deep convolutional encoder-decoder for semantic pixel-wise labeling.
A Python library that allows segmenting any element in an image using semantic strings, based on GroundingDino and SAM.
PixelLib is a Python library for image and video segmentation using deep learning models like Mask R-CNN, DeepLab, and PointRend.
Semantic highlighting for Xcode, improving code readability and developer productivity.
A FastAPI-based service for semantic text search using precomputed embeddings and advanced similarity measures.
Semantic Highlighting for Python in Neovim, a powerful plugin for improved code readability and productivity.
Semantic Versioning library for Go developers
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
Scripts and baselines for the Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge.
A toolbox for open-world and high-quality image segmentation, with pre-trained models and PyTorch-based implementation.
A highly customizable Neovim theme that provides a dark and light variant with support for Tree-sitter and LSP semantic tokens.
A Python library for semantic and instance segmentation of LiDAR point clouds for autonomous driving.
Automates semantic versioning and release management for Python projects via commit message conventions.
A large-scale open-access corpus of scientific papers and metadata for researchers and developers.
A Python-based tool for detecting and mitigating phishing attacks on social media using LLM-based modeling.
Lightweight PyTorch models for real-time semantic segmentation on computer vision tasks.
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