MikeInnes / zygote-paper
☆69Updated 5 years ago
Alternatives and similar repositories for zygote-paper:
Users that are interested in zygote-paper are comparing it to the libraries listed below
- AlphaGo Zero implementation using Flux.jl☆73Updated 4 years ago
- ☆27Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- Yet Another Source to Source Automatic Differentiation☆26Updated 5 years ago
- Implement you own AD in 300 loc☆79Updated last year
- Benchmarks across Deep Learning Frameworks in Julia and Python☆25Updated 5 years ago
- Automatic Differentiation Handbook☆145Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆41Updated 5 years ago
- Jax-based MaxEnt☆18Updated 5 years ago
- Autograd extension for forward mode autodiff☆30Updated 7 years ago
- A Julia package for manifold learning and nonlinear dimensionality reduction☆93Updated last year
- A Julia implementation of tensor decomposition algorithms☆45Updated 4 years ago
- Gaussian Process package based on data augmentation, sparsity and natural gradients☆137Updated last year
- Using PyTorch in Julia Language☆72Updated 5 years ago
- Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019☆24Updated 5 years ago
- It slices, it dices, it splices!☆137Updated 6 months ago
- Differentiable Duckietown☆31Updated 5 years ago
- Gym environments in Julia☆54Updated 4 years ago
- ☆28Updated 3 years ago
- The differentiable OSQP solver layer for PyTorch☆59Updated 2 years ago
- Interface for PyTorch's C++ backend, focusing on ATen, AutoGrad, and JIT☆23Updated 6 months ago
- Why multiple dispatch lets you write composable code☆40Updated 4 years ago
- Differentiable programming on quantum circuits with Flux☆19Updated 5 years ago
- A one-stop package for different reinforcement learning environments☆58Updated 3 years ago
- Concise and friendly interfaces for defining MDP and POMDP models for use with POMDPs.jl solvers☆28Updated 5 months ago
- ☆67Updated 5 years ago
- Neural style in Julia☆11Updated 5 years ago
- Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)☆15Updated 4 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 4 years ago