automatic-differentiation
Tracked open-source repos tagged automatic-differentiation, sorted by stars.
Related topics
Topics that frequently appear alongside automatic-differentiation on the same repo.
Recent risers
Repos created in the last 90 days, tagged automatic-differentiation.
No new repos tagged with this topic in the last 90 days.
- #1★ 7,525+1Star change over the last 7 days
- #2★ 5,932+2Star change over the last 7 days
- #3
A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives
★ 3,705+15Star change over the last 7 days - #4
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
★ 3,450+8Star change over the last 7 days - #5★ 1,954+3Star change over the last 7 days
- #6★ 1,850+0Star change over the last 7 days
- #7★ 1,684+3Star change over the last 7 days
- #8★ 1,569+0Star change over the last 7 days
- #9
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
★ 1,407+0Star change over the last 7 days - #10★ 1,351+0Star change over the last 7 days
- #11
Aircraft design optimization made fast through computational graph transformations (e.g., automatic differentiation). Composable analysis tools for aerodynamics, propulsion, structures, trajectory design, and much more.
★ 1,323+4Star change over the last 7 days - #12
A JavaScript library like PyTorch, with GPU acceleration.
★ 1,222+0Star change over the last 7 days - #13
Forward Mode Automatic Differentiation for Julia
★ 1,004+1Star change over the last 7 days - #14
OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions
★ 899+1Star change over the last 7 days - #15
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
★ 878+2Star change over the last 7 days - #16
The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
★ 836+2Star change over the last 7 days - #17
Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
★ 835+0Star change over the last 7 days - #18
A simple library for creating complex neural networks
★ 765+0Star change over the last 7 days - #19
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
★ 758+3Star change over the last 7 days - #20
Introductions to key concepts in quantum programming, as well as tutorials and implementations from cutting-edge quantum computing research.
★ 678+1Star change over the last 7 days - #21★ 669+0Star change over the last 7 days
- #22★ 637+4Star change over the last 7 days
- #23
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
★ 637+0Star change over the last 7 days - #24★ 586+1Star change over the last 7 days
- #25
🧩 Shape-Safe Symbolic Differentiation with Algebraic Data Types
★ 545+0Star change over the last 7 days - #26
⟨Grassmann-Clifford-Hodge⟩ differential geometric algebra
★ 514+0Star change over the last 7 days - #27
Tensors and differentiable operations (like TensorFlow) in Rust
★ 503+0Star change over the last 7 days
