pierreablin / autoptimLinks
Automatic differentiation + optimization
☆103Updated 6 years ago
Alternatives and similar repositories for autoptim
Users that are interested in autoptim are comparing it to the libraries listed below
Sorting:
- A python library for stochastic variational inference and differentiable probabilistic programming☆33Updated 6 years ago
- A user-centered Python package for differentiable probabilistic inference☆202Updated 4 years ago
- ☆64Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆188Updated last year
- Experimental Gradient Boosting Machines in Python with numba.☆185Updated 6 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆110Updated 8 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- An extension to Sacred for automated hyperparameter optimization.☆59Updated 7 years ago
- Streamlined machine learning experiment management.☆107Updated 5 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
- InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy☆148Updated last year
- Randomized Dimension Reduction Library☆115Updated 4 years ago
- Graduate topics course on learning discrete latent structure.☆67Updated 6 years ago
- ☆98Updated 7 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 10 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- PyMC3-like Interface for Pyro☆38Updated 5 years ago
- Tutorial on interpreting and understanding machine learning models☆69Updated 6 years ago
- Variational Fourier Features☆85Updated 4 years ago
- Better, faster hyper-parameter optimization☆113Updated last year
- A library of scalable Bayesian generalised linear models with fancy features☆60Updated 7 years ago
- Implementation of Mapper algorithm for Topological Data Analysis☆45Updated 5 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆183Updated 6 years ago
- Black box hyperparameter optimization made easy.☆75Updated 2 years ago
- TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network☆183Updated 7 years ago
- Implementation of the conjugate prior table for Bayesian Statistics☆52Updated last year
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Experiment orchestration☆102Updated 5 years ago
- Documentation:☆121Updated 2 years ago
- A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch☆389Updated last year