Showing 41-48 of 48 projects
Hasktorch provides a Haskell API for tensors and neural networks, enabling developers to build AI applications in a functional programming language.
A minimal tensor processing unit (TPU) for AI and machine learning workloads, inspired by Google's TPU V2 and V1.
A common in-memory tensor structure for deep learning frameworks written in C++.
A fast, differentiable tensor library in JavaScript and TypeScript with Bun and Flashlight support.
A lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for machine learning.
Rust-based library for building dynamic neural networks and performing autodifferentiation.
A tutorial course for building AI-powered applications using Stable Diffusion and PyTorch.
A PyTorch-dedicated tensor container for vibe coders building with AI tools.
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