MikeInnes / zygote-paperLinks
☆70Updated 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
Sorting:
- Using PyTorch in Julia Language☆72Updated 5 years ago
- Implement you own AD in 300 loc☆79Updated last year
- Yet Another Source to Source Automatic Differentiation☆26Updated 6 years ago
- AlphaGo Zero implementation using Flux.jl☆72Updated 5 years ago
- ☆28Updated 5 years ago
- Prototypes of differentiable differential equation solvers in JAX.☆27Updated 5 years ago
- ☆28Updated 3 years ago
- Benchmarks across Deep Learning Frameworks in Julia and Python☆25Updated 5 years ago
- Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)☆15Updated 4 years ago
- Automatic Differentiation Handbook☆148Updated 4 years ago
- A differentiation API for PyTorch☆30Updated 5 years ago
- Practical tools for quantifying how well a sample approximates a target distribution☆27Updated 5 years ago
- ☆67Updated 6 years ago
- A Julia package for manifold learning and nonlinear dimensionality reduction☆93Updated last year
- Julia on TPUs☆222Updated 4 years ago
- Jax-based MaxEnt☆17Updated 5 years ago
- Gym environments in Julia☆54Updated 5 years ago
- Easily optimize generic performance metrics in differentiable learning.☆18Updated 5 years ago
- AlgoPy is a Research Prototype for Algorithmic Differentation in Python☆85Updated last year
- Deprecated in favor of https://github.com/PhilipVinc/TensorBoardLogger.jl/☆12Updated 5 years ago
- Why multiple dispatch lets you write composable code☆40Updated 4 years ago
- Differentiable Duckietown☆32Updated 6 years ago
- A framework for composing Neural Processes in Julia☆76Updated 4 years ago
- Julia implemention of NEAT (NeuroEvolution of Augmenting Topologies) algorithm☆24Updated 9 years ago
- Julia code for Probabilistic Machine Learning☆38Updated 5 years ago
- Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019☆24Updated 5 years ago
- Flux baselines: Implementations of reinforcement learning algorithms using Flux☆29Updated 5 years ago
- Differentiable programming on quantum circuits with Flux☆19Updated 5 years ago
- Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform…☆124Updated last week
- Interface for PyTorch's C++ backend, focusing on ATen, AutoGrad, and JIT☆23Updated 10 months ago