davidbarber / AutoDiff
Julia AutoDiff
☆28Updated 8 years ago
Alternatives and similar repositories for AutoDiff
Users that are interested in AutoDiff are comparing it to the libraries listed below
Sorting:
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Deep variational inference library for Keras☆15Updated 8 years ago
- Cephes Mathematical Functions library wrapped for Torch☆47Updated 9 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated last week
- Reducing Reparameterization Gradient Variance code.☆33Updated 7 years ago
- A deep learning library for Julia based on Caffe☆33Updated 9 years ago
- A Julia framework for probabilistic graphical models.☆53Updated 5 years ago
- Collaborative filtering with the GP-LVM☆25Updated 9 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Scripts to generate a dataset with static frames from the Arcade Learning Environment☆19Updated 11 years ago
- review of Deep Learning for Nature☆31Updated 9 years ago
- Automatic Discovery of the Statistical Types of Variables in a Dataset☆23Updated 7 years ago
- Learning to Discover Efficient Mathematical Identities☆48Updated 10 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Recognizing and exploiting conjugacy without a domain-specific language☆36Updated 5 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 4 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Edward content including papers, posters, and talks☆91Updated 4 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- This repository houses the code for the community website http://www.probabilistic-numerics.org☆35Updated 5 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- ☆89Updated 7 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Provides and wraps the Randomkit library, copied from Numpy.☆34Updated 6 years ago
- Notes from Simons Institute program "Foundations of Machine Learning"☆13Updated 8 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 10 years ago