Tensors and Dynamic neural networks in Python with strong GPU acceleration
-
Updated
Jul 16, 2024 - Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
small deep learning library for training end-to-end fully-connected ANNs, made for learning purposes
A minimal OpenCL, CUDA, Vulkan and host CPU array manipulation engine / framework.
Tensor based neutrino oscillation probability calculator
Convert ML Code Between Frameworks
A small autograd engine, inspired from karpathy/micrograd, with a few more features, such as additional activation functions, loss criterions, optimizers and accuracy metrics. Written in Rust.
An Engine-Agnostic Deep Learning Framework in Java
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Train a quantum computer the same way as a neural network.
Rust port of Karpathy's micrograd & associated stuff.
A simple Numpy & Python based auto differentiation system that supports visualization before and after back-propagation.
An autograd engine built for my understanding
An introduction to Automatic Differentiation with theory and code examples.
large population models
Estêvão's Single Stage Optimizer of alpha particles via differentiable JAX code
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
Add a description, image, and links to the autograd topic page so that developers can more easily learn about it.
To associate your repository with the autograd topic, visit your repo's landing page and select "manage topics."