mikegashler / wafflesLinks
A toolkit of machine learning algorithms.
☆85Updated 2 years ago
Alternatives and similar repositories for waffles
Users that are interested in waffles are comparing it to the libraries listed below
Sorting:
- Online Multi-Class LPBoost and Gradient Boosting☆68Updated 11 years ago
- A short paper describing the library is available on arXiv.☆65Updated 8 years ago
- A flexible and efficient С++ template library for dimension reduction☆234Updated last year
- ☆154Updated 9 years ago
- Online Random Forests☆90Updated 10 years ago
- C++ 11 implementation of Geoff Hinton's Deep Learning matlab code☆286Updated 10 years ago
- A Library for Ensemble Learning Using Support Vector Machines☆106Updated 11 years ago
- cache-friendly multithread matrix factorization☆90Updated 9 years ago
- Matrix library for CUDA in C++ and Python☆196Updated 9 years ago
- Soft Decision Trees (code for ICPR 21 paper)☆33Updated 11 years ago
- A light-weight matrix factorization tool☆39Updated 8 years ago
- GPU-accelerated LIBSVM is a modification of the original LIBSVM that exploits the CUDA framework to significantly reduce processing time …☆219Updated 8 years ago
- Discriminant Projection Forest results, datasets, etc.☆44Updated 6 years ago
- MXNet Tutorial for NVidia GTC 2016.☆132Updated 9 years ago
- The ultimate Torch library.☆25Updated 11 years ago
- A parallel IRWLS library to solve SVMs and budgeted SVMs☆59Updated 8 years ago
- LASSO is a parallel regression model learning system☆69Updated 12 years ago
- Implementations of various online inference algorithms for LDA, with Python interface.☆21Updated 10 years ago
- stream Machine Learning in C++☆72Updated 10 years ago
- ☆37Updated last year
- Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo☆52Updated 12 years ago
- The pdf and LaTeX for each paper (and sometimes the code and data used to generate the figures).☆72Updated 8 years ago
- Convolutional neural networks C++ framework with CPU and GPU (CUDA) backends☆182Updated 7 years ago
- Yahoo!'s topic modelling framework using Latent Dirichlet Allocation☆98Updated 14 years ago
- Metric Learning to Rank☆46Updated 12 years ago
- Randomized Decision Trees: A Fast C++ Implementation of Random Forests.☆179Updated 5 years ago
- APRIL-ANN toolkit (A Pattern Recognizer In Lua with ANNs). This toolkit incorporates ANN algorithms (as dropout, stacked denoising auto-e…☆74Updated 9 years ago
- Rectified Factor Networks☆37Updated 6 years ago
- An implementation of Caruana et al's Ensemble Selection algorithm in Python, based on scikit-learn☆150Updated 4 years ago
- Dynamic version of Poisson Factorization (dPF). dPF captures the changing interest of users and the evolution of items over time accordin…☆48Updated 9 years ago