Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Pennylane | 2,022 | 10 | 54 | 2 months ago | 46 | November 08, 2023 | 263 | apache-2.0 | Python | |
PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum computer the same way as a neural network. | ||||||||||
Enzyme | 1,100 | 2 months ago | 137 | other | LLVM | |||||
High-performance automatic differentiation of LLVM and MLIR. | ||||||||||
Qml | 465 | 2 months ago | 40 | apache-2.0 | Python | |||||
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research. | ||||||||||
Rust Autograd | 413 | 1 | a year ago | 35 | November 28, 2021 | 3 | mit | Rust | ||
Tensors and differentiable operations (like TensorFlow) in Rust | ||||||||||
Tensorlang | 303 | 6 years ago | 14 | apache-2.0 | Python | |||||
Tensorlang, a differentiable programming language based on TensorFlow | ||||||||||
Tensorcircuit | 230 | 2 months ago | 26 | August 14, 2023 | 18 | apache-2.0 | Python | |||
Tensor network based quantum software framework for the NISQ era | ||||||||||
Adcme.jl | 158 | 3 years ago | 14 | mit | Julia | |||||
Automatic Differentiation Library for Computational and Mathematical Engineering | ||||||||||
Tensorflow Forward Ad | 130 | 6 years ago | 11 | February 18, 2018 | 2 | mit | Python | |||
Forward-mode Automatic Differentiation for TensorFlow | ||||||||||
Notebooks | 101 | a year ago | 2 | Jupyter Notebook | ||||||
Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers. | ||||||||||
Tfga | 38 | a year ago | 17 | July 14, 2021 | 8 | mit | Jupyter Notebook | |||
Python package for Geometric / Clifford Algebra with TensorFlow |