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:
- ☆25Updated 3 years ago
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- ☆36Updated 10 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- Common Code Workflow tutorial on Theano☆16Updated 9 years ago
- ☆15Updated 9 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- TBEEF, a doubly ensemble framework for recommendation and prediction problems.☆20Updated 9 years ago
- Gopalan, P., Ruiz, F. J., Ranganath, R., & Blei, D. M. (2014). Bayesian Nonparametric Poisson Factorization for Recommendation Systems. I…☆15Updated 11 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 10 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 9 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- ☆25Updated 9 years ago
- Recommender systems in Python☆50Updated 10 years ago
- Collaborative filtering with the GP-LVM☆25Updated 10 years ago
- The information sieve for discrete variables.☆36Updated 8 years ago
- Python wrapper for Yossi Rubner's implementation of the earth mover's distance (EMD)☆33Updated 12 years ago
- code for the Whale Detection Challenge competition on Kaggle☆39Updated 12 years ago
- Simple structured learning framework for python☆38Updated 9 years ago
- Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings☆50Updated last year
- Averaged Stochastic Gradient Descent Classifiers☆42Updated 13 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 8 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- Deep Learning DTU summer school 2015☆23Updated 9 years ago
- simple example of gradient-based hyperparameter optimization using tensorflow☆19Updated 9 years ago