bgavran / autodiffLinks
Rudimentary automatic differentiation framework
☆75Updated 6 years ago
Alternatives and similar repositories for autodiff
Users that are interested in autodiff are comparing it to the libraries listed below
Sorting:
- Named Tensor implementation for Torch☆446Updated 3 years ago
- Implementation of Model-Agnostic Meta-Learning (MAML) in Jax☆191Updated 2 years ago
- 2019 talk at GECCO☆68Updated 6 years ago
- Concise deep learning for JAX☆183Updated 4 years ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆267Updated 5 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆60Updated 5 years ago
- ☆153Updated 5 years ago
- a light weight experiment reproducibility toolset☆40Updated 4 years ago
- An expressive shorthand to describe a deep learning architecture☆73Updated 6 years ago
- learning to search in pytorch☆110Updated 5 years ago
- Automatic differentiation + optimization☆103Updated 6 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆188Updated last year
- Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)☆146Updated 4 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- An intelligent block matrix library for numpy, PyTorch, and beyond.☆310Updated last year
- Configure Python functions explicitly and safely☆127Updated 9 months ago
- Streamlined machine learning experiment management.☆107Updated 5 years ago
- Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…☆246Updated 5 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Autograd extension for forward mode autodiff☆30Updated 7 years ago
- Pip-installable differentiable stacks in PyTorch!☆65Updated 4 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- ☆133Updated 7 years ago
- Experiments with differentiable stacks and queues in PyTorch☆142Updated 5 years ago
- Repository of models in Pyro☆30Updated last year
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆389Updated last year
- Guided Evolutionary Strategies☆272Updated 2 years ago
- A minimal implementation of an Variational Auto-Encoder☆36Updated 6 years ago