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A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
A collection of computer vision pre-trained models.
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
LAMA - automatic model creation framework
EvalML is an AutoML library written in python.
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Human-explainable AI.
Dynamic Nested Sampling package for computing Bayesian posteriors and evidences
ML hyperparameters tuning and features selection, using evolutionary algorithms.
A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include multi-server, dynamic model switching, streaming responses, tool management, human-in-the-loop, thinking mode, full model parameters configuration, custom system prompt and saved preferences. Built for developers working with local LLMs.
Time Series Cross-Validation -- an extension for scikit-learn
Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
State-of-the art Automated Machine Learning python library for Tabular Data