pberkes / neuro-klLinks
Python and Matlab code to estimate KL divergence and entropy of neural data distributions
☆19Updated 12 years ago
Alternatives and similar repositories for neuro-kl
Users that are interested in neuro-kl are comparing it to the libraries listed below
Sorting:
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆44Updated 10 years ago
- Structured Machine Learning in Python☆45Updated 2 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 8 years ago
- Look Ahead Hamiltonian Monte Carlo☆30Updated 10 years ago
- Cortex - Deep learning tools for neuroimaging☆31Updated 8 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Implementation of stochastic variational inference for Bayesian hidden Markov models.☆66Updated 7 years ago
- modular implementation of new algorithm☆13Updated 11 years ago
- A conda-smithy repository for python-spams.☆23Updated 7 months ago
- 2nd place submission to the MEG decoding competition https://www.kaggle.com/c/decoding-the-human-brain☆18Updated 10 years ago
- Automatic ROI Detection☆19Updated 9 years ago
- ☆8Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- ☆16Updated 9 years ago
- Delay embedding for time series modeling and classification☆17Updated 8 years ago
- An interface between Torch and Matlab☆30Updated 10 years ago
- density_estimation☆28Updated 6 years ago
- Code and text for our NIPS 2015 paper on linear response variational Bayes☆19Updated 7 years ago
- KMeans for big data using preconditioning and sparsification, Matlab implementation. Aka k-means☆59Updated 5 years ago
- Code for Max-Margin Deep Generative Models☆12Updated 10 years ago
- Black box variational inference for state space models☆2Updated 9 years ago
- Torch7 bindings for cuda-convnet2 kernels!☆40Updated 8 years ago
- Variational Recurrent Auto Encoder☆15Updated 8 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- Code for Deep Learning class at Google☆73Updated 13 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Python package to sample from determinantal point processes☆18Updated 9 years ago
- A Python convex optimization package using proximal splitting methods☆111Updated last year
- Several maximum likelihood ICA algorithms, including Picard☆22Updated 7 years ago
- ☆14Updated 9 years ago