Showing 1181-1200 of 1,252 projects
A collection of Semgrep community-contributed rules for static code analysis and security scanning.
A comprehensive library for sentiment analysis, text classification, and text adversarial defense, tailored for AI-powered developers.
This repository contains labs for practical malware analysis and triage, not a developer discovery platform for vibe coders.
A React toolkit for building graph visualization and analysis applications using the G6 library.
GRASS is a free and open-source geospatial processing engine for spatial data analysis and visualization.
TableBank is a benchmark dataset for table detection and recognition, useful for building computer vision models.
MeCab is a Japanese morphological analysis library written in C++ that can be used to break down Japanese text into its component parts.
This is a Docker container for running Apache Hive, a data warehousing tool for big data analysis.
A Haskell library for parsing and analyzing SQL queries from Vertica, Hive, and Presto.
An IDA plugin and loader for UEFI firmware analysis and reverse engineering automation.
Tools for causal analysis, helping developers understand and model causal relationships in their data.
A Python tool that automatically cleans and preprocesses data for analysis and machine learning.
A Python library for Chinese sentiment analysis using CNN, Bi-LSTM, and text classification.
A simple, open-source ITSM tool for managing IT services and infrastructure.
A TypeScript library for image processing and manipulation in JavaScript.
RStan is an R interface to the Stan probabilistic programming language, used for Bayesian data analysis and inference.
A Python library for real-time audio visualization, including spectrum, spectrogram, and more.
A curated list of practical natural language processing tools and libraries in Ruby for developers.
A powerful C++ library for building causal models and performing advanced statistical analysis.
Official implementation of CEBRA, a tool for joint behavioral and neural analysis using learnable latent embeddings.
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