Hasktorch

Visit Tool

hasktorch is a Coding & Development tool that provides tensors and neural networks in Haskell. It is an open-source project leveraging core C++ libraries shared by PyTorch for AI and deep learning tasks.

Claim this tool

1View

At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is hasktorch?

Hasktorch is an open-source library designed for tensors and neural networks, specifically tailored for the Haskell programming language. It leverages the core C++ libraries that power PyTorch, enabling Haskell developers to engage in AI and deep learning tasks. The project is under active development, with its second major release (0.2) available on Hackage and Nixpkgs. Hasktorch provides comprehensive documentation, including introductory videos and detailed getting started guides for various environments like Linux, macOS, and Docker, supporting both CPU and CUDA configurations. It also addresses known issues such as MPS support on macOS and tensor movement to CUDA, offering solutions and workarounds for common challenges.

Best used for

Ideal for developers who need to implement deep learning models, perform tensor operations, and integrate AI capabilities within the Haskell ecosystem. Especially valuable for those seeking to leverage PyTorch's robust C++ backend while working in a functional programming environment.

Common actions

build neural networks

implement deep learning

develop AI models

use Haskell for ML

github copilotface swapping"AI Agents"low-code/no-codecollaborationworkflowsautomated workflowopen-sourcedeepfake

Capabilities

Key features

Tensors in Haskell
Neural networks in Haskell
Leverages PyTorch C++ core
CPU and CUDA support
Comprehensive documentation
Active community development

Target Audience

developer

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What programming language does hasktorch use?

Hasktorch is a library specifically designed for the Haskell programming language. It allows developers to build and implement tensors and neural networks using Haskell, while leveraging the underlying C++ libraries from PyTorch.

Does hasktorch support GPU acceleration?

Yes, hasktorch supports GPU acceleration through CUDA. Users can configure their environment for CUDA 11 or other versions, enabling faster computation for deep learning tasks compared to CPU-only operations.

How can I get started with hasktorch?

To get started, clone the hasktorch repository and follow the setup instructions for your operating system (Linux, macOS) and package manager (Cabal, Stack, NixOS). Comprehensive guides and example executables are provided to help you build and test the library.

Trending

Subcategories trending in Coding & Development

Open Source & Models DevOps & Infrastructure No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

Trending

Explore

Browse AI tools by category

Content & Design Productivity & Business Coding & Development AI Agents & Automation Research & Education Wellness & Lifestyle Career Development Marketing & Growth Data & Analytics Customer Support & CX Finance E-commerce