Tokenizers for Natural Language Processing in Julia.
Recently added
Recently added to the directory
Browse dated community launches and imported or editorial directory additions.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Cloud Native Batch System (Project under CNCF).
A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.
Some of the python libraries were cut-and-pasted from.
Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.
AutoML algorithm tool chain by Huawei Noah's Arb Lab.
"leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents".
Minimize LLM token complexity to save API costs and model computations.
Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A Java implementation of Twitter's text processing library.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Python library for automatic extraction of relevant features from time series.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A web app to generate template code for machine learning.
Automated ML tool that optimizes machine learning pipelines using genetic programming.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.