awesome-repositories.com
Blog
MCP
awesome-repositories.com

Discover the best open-source repositories with AI-powered search.

ExploreCurated searchesOpen-source alternativesSelf-hosted softwareBlogSitemap
ProjectMCP serverAboutHow we rankPress
LegalPrivacyTerms
© 2026 Bringes Technology SRL·VAT RO45896025·hello@awesome-repositories.com
·
auto-differentiation avatar

auto-differentiation/xad

0
View on GitHub↗
421 stars·48 forks·C++·AGPL-3.0·6 viewsauto-differentiation.github.io↗

Xad

Fast, easy automatic differentiation in C++

Features

  • General Machine Learning - Comprehensive backpropagation tool for C++.
  • Mathematical Libraries - Automatic differentiation library.
  • Cross-Language Frameworks - Library for automatic differentiation in financial modeling.

Star history

Star history chart for auto-differentiation/xadStar history chart for auto-differentiation/xad

AI search

Explore more awesome repositories

Describe what you need in plain English — the AI ranks thousands of curated open-source projects by relevance.

Start searching with AI

Open-source alternatives to Xad

Similar open-source projects, ranked by how many features they share with Xad.
  • lballabio/quantliblballabio avatar

    lballabio/QuantLib

    6,786View on GitHub↗

    QuantLib is a quantitative finance library and analysis engine built in C++ for executing complex financial calculations and simulations. It serves as a framework for quantitative finance modeling and trading risk management, providing the tools necessary to calculate fair values and risk metrics for diverse financial assets. The project focuses on financial instrument modeling and the evaluation of potential losses and exposure levels to inform portfolio management decisions. It provides a system for modeling financial instruments and managing trading risk through quantitative mathematical m

    C++quantitative-finance
    View on GitHub↗6,786
  • 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
  • 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
  • ajtulloch/haskell-mlajtulloch avatar

    ajtulloch/haskell-ml

    60View on GitHub↗

    Haskell implementations of various ML algorithms.

    Haskell
    View on GitHub↗60
See all 30 alternatives to Xad→

Frequently asked questions

What does auto-differentiation/xad do?

Fast, easy automatic differentiation in C++

What are the main features of auto-differentiation/xad?

The main features of auto-differentiation/xad are: General Machine Learning, Mathematical Libraries, Cross-Language Frameworks.

What are some open-source alternatives to auto-differentiation/xad?

Open-source alternatives to auto-differentiation/xad include: lballabio/quantlib — QuantLib is a quantitative finance library and analysis engine built in C++ for executing complex financial… morvanzhou/tutorials — This repository is a comprehensive collection of instructional guides and practical examples for Python development,… aimhubio/aim — Aim is an open-source platform for logging, visualizing, and comparing machine learning training runs and LLM traces.… 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… ajtulloch/haskell-ml — Haskell implementations of various ML algorithms.