davidbarber / AutoDiffLinks
Julia AutoDiff
☆28Updated 9 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.☆33Updated 9 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated 6 months ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- ☆90Updated 8 years ago
- Reducing Reparameterization Gradient Variance code.☆33Updated 8 years ago
- Cluttered MNIST Dataset☆53Updated 10 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 9 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Edward content including papers, posters, and talks☆92Updated 5 years ago
- RNNprop☆36Updated 8 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 7 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆68Updated 8 years ago
- Probabilistic Programming and Statistical Inference in PyTorch☆111Updated 8 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 9 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago
- NeurIPS 2016. Linear-time interpretable nonparametric two-sample test.☆64Updated 7 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 9 years ago
- Structure learning for sparse graphs with latent variables☆45Updated 8 years ago
- Unsupervised learning and generative models in python/pytorch.☆119Updated 2 years ago
- Matlab code implementing Minimum Probability Flow Learning.☆69Updated 11 years ago
- Tensor Factorization via Matrix Factorization☆34Updated 9 years ago
- A Python library for reinforcement learning using Bayesian approaches☆53Updated 10 years ago
- Forward-mode Automatic Differentiation for TensorFlow☆139Updated 7 years ago
- Implementation of Hamiltonian Monte Carlo using Google's TensorFlow☆46Updated 9 years ago
- Doubly Stochastic Neighbor Embedding on Spheres☆60Updated 6 years ago
- Implementation of Variance Reduction Techniques in Julia☆11Updated 9 years ago
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆52Updated 12 years ago