kswersky / k-stochastic-neighborLinks
Code to accompany the paper "k-Stochastic Neighbor Embeddings for Supervised and Unsupervised Learning, ICML 2013".
☆27Updated 9 years ago
Alternatives and similar repositories for k-stochastic-neighbor
Users that are interested in k-stochastic-neighbor are comparing it to the libraries listed below
Sorting:
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 9 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- ☆14Updated 9 years ago
- ☆15Updated 9 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 6 years ago
- ☆36Updated 10 years ago
- Code for Max-Margin Deep Generative Models☆12Updated 10 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- ☆25Updated 3 years ago
- Benchmarking different LSTM libraries☆24Updated 9 years ago
- ☆15Updated 9 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 7 years ago
- code for the Whale Detection Challenge competition on Kaggle☆39Updated 12 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- ☆58Updated 9 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago
- Collection of useful, re-used routines.☆45Updated 7 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Deep Manifold Learning on Music Audio☆35Updated 9 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago
- Fast CPU implementations of several conditional probabilistic models☆37Updated last year
- Utilities for nolearn.lasagne☆21Updated 7 years ago
- doc and model for NDSB☆31Updated 10 years ago
- Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.☆32Updated 9 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Deep Generative Stochastic Networks for Sequence Prediction☆8Updated 2 years ago
- Extreme Learning Machine implementation in Python☆44Updated 11 years ago