janvdvegt / KernelMixtureNetworkLinks
Kernel Mixture Network implementation with some minor tweaks
☆45Updated 7 years ago
Alternatives and similar repositories for KernelMixtureNetwork
Users that are interested in KernelMixtureNetwork are comparing it to the libraries listed below
Sorting:
- A stacked generalization framework. Built on top of scikit learn☆57Updated 2 years ago
- Some experiments into explaining complex black box ensemble predictions.☆75Updated 5 years ago
- Playing with various deep learning tools and network architectures☆70Updated 7 years ago
- InfiniteBoost: building infinite ensembles with gradient descent☆184Updated 6 years ago
- a python implementation of Parametric t-SNE in Keras☆60Updated 6 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 6 years ago
- Scikit-learn API toy wrapper for Regularized Greedy Forests☆44Updated 9 years ago
- A helper library for data science pipeline☆36Updated 6 years ago
- Creating a better validation set when test examples differ from training examples☆101Updated 9 years ago
- Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]☆144Updated 5 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆26Updated 9 years ago
- 🧹 Formerly for binary classification with noisy labels. Replaced by cleanlab.☆82Updated 3 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- Random fiddling stored in notebooks☆22Updated 8 years ago
- DeepSuperLearner - Python implementation of the deep ensemble algorithm☆135Updated 7 years ago
- Bayesian Logistic Regression using Laplace approximations to the posterior.☆47Updated 8 years ago
- Hodor AutoML: Brute-Bandit fast good-enough solutions to a wide range of machine learning problems.☆83Updated 10 years ago
- A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation☆128Updated 4 years ago
- ☆98Updated 7 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- SigOpt wrappers for scikit-learn methods☆75Updated last year
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- ☆25Updated 9 years ago
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- simple python interface to SMAC.☆21Updated 7 years ago
- NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-lear…☆31Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 6 years ago
- A python toolbox for GP analysis written in a functional programming style☆22Updated 7 years ago
- A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization routines.☆199Updated last year
- Quick function to go from a dictionary of sets of (images, labels, feature vectors) to checkpoints that can be opened in Tensorboard☆33Updated 7 years ago