pierreablin / autoptim
Automatic differentiation + optimization
☆103Updated 5 years ago
Alternatives and similar repositories for autoptim:
Users that are interested in autoptim are comparing it to the libraries listed below
- A python library for stochastic variational inference and differentiable probabilistic programming☆32Updated 5 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆184Updated last year
- Experimental Gradient Boosting Machines in Python with numba.☆183Updated 6 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆109Updated 7 years ago
- ☆64Updated 6 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆58Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Documentation:☆119Updated last year
- ☆98Updated 7 years ago
- Bayesian Effective Connectivity☆54Updated 6 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated 7 months ago
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…☆33Updated 5 years ago
- Repository of models in Pyro☆29Updated 7 months ago
- bayesian bootstrapping in python☆121Updated 3 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 4 years ago
- Tutorial on interpreting and understanding machine learning models☆68Updated 6 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 3 years ago
- Variational Fourier Features☆84Updated 3 years ago
- Blazingly fast capsule networks in 75 lines of pytorch+einops☆26Updated 3 years ago
- Automatic Reparameterisation of Probabilistic Programs☆36Updated 4 years ago
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated 7 months ago
- Randomized Dimension Reduction Library☆116Updated 3 years ago
- Gaussian Processes in Pytorch☆75Updated 5 years ago