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:
- This repo contain the exercies of the Next.ML 2015 presentation☆24Updated 10 years ago
- Install TensorFlow on AWS GPU-instance☆28Updated 9 years ago
- code for the Whale Detection Challenge competition on Kaggle☆39Updated 12 years ago
- ☆25Updated 3 years ago
- Common Code Workflow tutorial on Theano☆16Updated 9 years ago
- ☆36Updated 10 years ago
- Deep Manifold Learning on Music Audio☆34Updated 9 years ago
- Adding an ipynb tutorial to Lasagne☆53Updated 8 years ago
- Talk for SciPy2015 "Deep Learning: Tips From The Road"☆44Updated 10 years ago
- Spearmint, without the gum☆42Updated 8 years ago
- code referenced in "Towards universal neural nets: Gibbs machines and ACE", Galin Georgiev, http://arxiv.org/abs/1508.06585☆14Updated 10 years ago
- Boosting and ensemble learning in Python.☆54Updated 10 years ago
- Breze with all the stuff.☆96Updated 9 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago
- Code for the "Burn CPU, burn" competition at Kaggle. Uses Extreme Learning Machines and hyperopt.☆33Updated 11 years ago
- Cython implementation of DeepWalk☆53Updated 2 years ago
- Recommender systems in Python☆50Updated 10 years ago
- TBEEF, a doubly ensemble framework for recommendation and prediction problems.☆20Updated 9 years ago
- ☆58Updated 9 years ago
- Analytics for Deep Learning projects.☆49Updated 9 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 5 years ago
- Python Matrix Factorization Module☆32Updated 10 years ago
- ☆49Updated 9 years ago
- Large scale matrix factorization on GPU☆19Updated 9 years ago
- Randomized embeddings for extreme learning☆24Updated 9 years ago
- A simple tool for small scale experiments using bayesian optimization☆35Updated 7 years ago
- Sparse Beta-Divergence Tensor Factorization Library☆48Updated 3 months ago
- ☆29Updated 7 years ago
- Python implementation of Markov Jump Hamiltonian Monte Carlo☆24Updated 8 years ago
- An implementation of the Hessian-free optimization algorithm in Theano☆61Updated 13 years ago