Automated ML tool that optimizes machine learning pipelines using genetic programming.
Directory
Models & Machine Learning
Models and machine learning covers model hubs, research papers, training guides and evaluation tools. The topic mixes practical resources with reference material, so you will find repositories that host downloadable models next to sites that explain how a technique works. Some entries are collections of papers or benchmarks, and others are tutorials that walk through fine-tuning or deployment. It pays to compare the model licence, the training data, the hardware needed and the date of the last update. The field moves quickly, so verify version notes on the source before you build on anything listed here.
A web app to generate template code for machine learning.
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.
Tribuo is a Java ML library for multi-class classification, regression, clustering, anomaly detection and multi-label classification.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
TruLens instruments your AI agent with OpenTelemetry, scores every step with benchmarked LLM judges, and tells you which version to ship.
Python library for automatic extraction of relevant features from time series.
Documentation for Tune, covering setup, features, and practical usage.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Tusk provides machine-learning models, research, training resources, or evaluation tools.
A Java implementation of Twitter's text processing library.
Discover datasets around the world!
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Change just one letter and get github repo context to use as context for your LLM.
unpkg.ai provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
Minimize LLM token complexity to save API costs and model computations.
Vast.ai provides machine-learning models, research, training resources, or evaluation tools.
"leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents".
AutoML algorithm tool chain by Huawei Noah's Arb Lab.
AI product development platform to experiment with, evaluate, and deploy advanced LLM apps.