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.☆32Updated 9 years ago
- Deep variational inference library for Keras☆15Updated 8 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- NeurIPS workshop on Advances in Approximate Bayesian Inference☆48Updated last month
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Repo for a paper about constructing priors on very deep models.☆73Updated 8 years ago
- Cephes Mathematical Functions library wrapped for Torch☆47Updated 9 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Efficient implementation of Generative Stochastic Networks☆12Updated 11 years ago
- Topics on theoretical, mathematical aspects of DL☆72Updated 8 years ago
- ☆58Updated 9 years ago
- Reading Group on Reinforcement Learning topics☆56Updated 8 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Cluttered MNIST Dataset☆51Updated 10 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Backpropagate derivatives through the Cholesky decomposition☆58Updated 5 years ago
- Scikit learn inspired library for gpu-accelerated machine learning☆38Updated 2 years ago
- A Julia framework for probabilistic graphical models.☆53Updated 5 years ago
- Scripts to generate a dataset with static frames from the Arcade Learning Environment☆19Updated 11 years ago
- Torch implementation of the Deep Network for Global Optimization (DNGO)☆51Updated 8 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Learning to Discover Efficient Mathematical Identities☆48Updated 10 years ago
- Columbia Advanced Machine Learning Seminar☆24Updated 6 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- Implementation of Variance Reduction Techniques in Julia☆11Updated 8 years ago
- Interface between Julia and Torch (Lua) using ZMQ☆22Updated 10 years ago
- A deep learning library for Julia based on Caffe☆33Updated 9 years ago