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lycheeJS
No analysis available
The lychee.js Engine is a peer-to-peer self-improving Artificial Intelligence that can write, debug, analyze, improve and understand software (both design and code).
It aims to deliver Total Automation through Artificial Intelligence and Machine Learning techniques, in every possible way.
The
Mostly written in language not available
Licenses:
No declared licenses
movie-recommender-demo
M
Analyzed 1 day ago
This project walks through how you can create recommendations using Apache Spark machine learning. There are a number of jupyter notebooks that you can run on IBM Data Science Experience, and there a live demo of a movie recommendation web application you can interact with. The demo also uses IBM
Licenses:
apache_2
OpenAI.Net.Client
O
Analyzed about 1 hour ago
OpenAI library for .NET
C# .NET library for use with the OpenAI API.
This is community-maintained library.
This library supports .net core 6.0 and above.
Pattern web mining module
Analyzed 1 day ago
Pattern is a web mining module for Python 2.5+ with functionality for data retrieval (Google + Twitter + Wikipedia, web spider, HTML DOM parser), natural language processing for English, German and Dutch (tagger/chunker, n-gram search, sentiment analysis, WordNet), machine learning (nearest
batea
Analyzed 1 day ago
Batea is a context-driven network device ranking framework based on the anomaly detection family of machine learning algorithms. The goal of Batea is to allow security teams to automatically filter interesting network assets in large networks using nmap scan reports. We call those Gold Nuggets.
Licenses:
GNU-GPLv2