🏆 #5,127 overall#1871 of 2,559 in Natural Language Processing

calebevans /cordon

Reduce logs to their semantic anomalies

$ git clone https://github.com/calebevans/cordon.git
GitHub social preview for calebevans/cordon
Stars
165
165
This week
—
Forks
6
6
Language
Python
License
Apache-2.0
Created
Nov 21, 2025
1.0 years old
Last push
Jul 20, 2026

Categories

GitHub topics

More in Natural Language Processing

Natural Language Processing

eugeneyan/ml-surveys

▲ +4 ★ this week

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

OtherMITupdated Mar 17, 2023
GitHub ↗★ 2.9K⑂ 290
Natural Language Processing

curiousily/Getting-Things-Done-with-Pytorch

▲ +2 ★ this week

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

💖 Sentiment Analysis
Jupyter NotebookApache-2.0updated Jun 30, 2024
GitHub ↗★ 2.5K⑂ 638
Natural Language Processing

MinishLab/model2vec🔥 active

▲ +9 ★ this week

Fast State-of-the-Art Static Embeddings

🧬 Embeddings
PythonMITupdated Nov 11, 2026
GitHub ↗★ 2.3K⑂ 128
Natural Language Processing

plasticityai/magnitude

A fast, efficient universal vector embedding utility package.

🧬 Embeddings
PythonMITupdated Aug 3, 2023
GitHub ↗★ 1.7K⑂ 125
Natural Language Processing

whylabs/langkit

▲ +1 ★ this week

🔍 LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). 📚 Extracts signals from prompts & responses, ensuring safety & security. 🛡️ Features include text quality, relevance metrics, & sentiment analysis. 📊 A comprehensive tool for LLM observability. 👀

🤖 Language Models
Jupyter NotebookApache-2.0updated Nov 22, 2024
GitHub ↗★ 1K⑂ 78
Natural Language Processing

curiosity-ai/catalyst

▲ +3 ★ this week

🚀 Catalyst is a C# Natural Language Processing library built for speed. Inspired by spaCy's design, it brings pre-trained models, out-of-the box support for training word and document embeddings, and flexible entity recognition models.

C#MITupdated Oct 8, 2026
GitHub ↗★ 864⑂ 86

Data from GitHub · snapshot Nov 13, 2026