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abhik avatar

abhik/pebl

0
View on GitHub↗
104 stars·21 forks·Python·8 views

Pebl

Python Environment for Bayesian Learning

Features

  • General Machine Learning - Environment for Bayesian learning.

Star history

Star history chart for abhik/peblStar history chart for abhik/pebl

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Pebl

These projects share indexed features with Pebl. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • morvanzhou/tutorialsMorvanZhou avatar

    MorvanZhou/tutorials

    12,952View on GitHub↗

    This repository is a comprehensive collection of instructional guides and practical examples for Python development, focusing on machine learning, data science, and web scraping. It provides implementations for neural networks, reinforcement learning algorithms, and deep learning architectures using PyTorch, alongside detailed manuals for scientific computing and data visualization. The project distinguishes itself by offering specialized tutorials on concurrent programming to optimize CPU performance and guides for setting up Linux development environments. It covers the implementation of ad

    Pythonmachine-learningmultiprocessingneural-network
    View on GitHub↗12,952
  • ajtulloch/haskell-mlajtulloch avatar

    ajtulloch/haskell-ml

    60View on GitHub↗

    Haskell implementations of various ML algorithms.

    Haskell
    View on GitHub↗60
  • aksnzhy/xlearnaksnzhy avatar

    aksnzhy/xlearn

    3,095View on GitHub↗

    High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

    C++
    View on GitHub↗3,095
  • aimhubio/aimaimhubio avatar

    aimhubio/aim

    6,159View on GitHub↗

    Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces. It provides a remote tracking server and a comparison UI, functioning as an ML experiment tracker, AI workflow logger, and LLM trace recorder that captures prompts, generations, and tool calls from AI applications. The platform distinguishes itself through a run-based data model with local SQLite storage, real-time metric streaming, and a plugin-based explorer system that supports specialized visual analysis of metrics, images, audio, and text. It offers a Python SDK with cont

    Python
    View on GitHub↗6,159
Compare all 30 related projects→

Frequently asked questions

What does abhik/pebl do?

Python Environment for Bayesian Learning

What are the main features of abhik/pebl?

The main features of abhik/pebl are: General Machine Learning.

Which projects share features with abhik/pebl?

Projects with overlapping indexed features include: morvanzhou/tutorials — This repository is a comprehensive collection of instructional guides and practical examples for Python development,… ajtulloch/haskell-ml — Haskell implementations of various ML algorithms. aksnzhy/xlearn — High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization… alan-turing-institute/sktime — sktime is a machine learning framework designed for time series analysis. It provides a unified interface for… alirezamika/evostra — A fast Evolution Strategy implementation in Python. aimhubio/aim — Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces.…