rtanno21609 / AdaptiveNeuralTreesLinks
Adaptive Neural Trees
☆153Updated 5 years ago
Alternatives and similar repositories for AdaptiveNeuralTrees
Users that are interested in AdaptiveNeuralTrees are comparing it to the libraries listed below
Sorting:
- Neural Architecture Search with Bayesian Optimisation and Optimal Transport☆134Updated 6 years ago
- Deep Neural Decision Trees☆162Updated 3 years ago
- ☆96Updated 5 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated last year
- Functional ANOVA☆124Updated 3 months ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆162Updated 5 years ago
- Gradient based hyperparameter optimization & meta-learning package for TensorFlow☆188Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 6 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆39Updated 3 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆296Updated 6 years ago
- ☆124Updated 4 years ago
- Code for AAAI 2018 accepted paper: "Beyond Sparsity: Tree Regularization of Deep Models for Interpretability"☆78Updated 7 years ago
- Code for the paper Gaussian process behaviour in wide deep networks☆46Updated 6 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆82Updated last year
- Learning error bars for neural network predictions☆70Updated 5 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- PyTorch implementation of Neural Processes☆89Updated 6 years ago
- Dilated RNNs in pytorch☆212Updated 6 years ago
- ☆123Updated last year
- Detecting Statistical Interactions from Neural Network Weights☆48Updated 5 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆32Updated 9 years ago
- Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …☆112Updated 6 years ago
- Random Fourier Features☆50Updated 8 years ago
- Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood☆93Updated 7 years ago
- A general, modular, and programmable architecture search framework☆124Updated 2 years ago
- predicting learning curves in python☆43Updated 8 years ago
- ☆45Updated 6 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 6 years ago