alvinwan / neural-backed-decision-treesLinks
Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet
☆623Updated 2 years ago
Alternatives and similar repositories for neural-backed-decision-trees
Users that are interested in neural-backed-decision-trees are comparing it to the libraries listed below
Sorting:
- Stochastic Weight Averaging in PyTorch☆978Updated 4 years ago
- [NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning☆758Updated 4 years ago
- Visualization toolkit for neural networks in PyTorch! Demo -->☆744Updated 2 years ago
- AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty☆989Updated 4 months ago
- Attributing predictions made by the Inception network using the Integrated Gradients method☆639Updated 3 years ago
- ☆206Updated 5 years ago
- ☆1,145Updated 2 years ago
- Ensemble learning related books, papers, videos, and toolboxes☆300Updated 6 years ago
- pytorch implementation of "Distilling a Neural Network Into a Soft Decision Tree"☆302Updated 6 years ago
- Naszilla is a Python library for neural architecture search (NAS)☆313Updated 2 years ago
- Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.☆244Updated last year
- Code for Noisy Student Training. https://arxiv.org/abs/1911.04252☆765Updated 4 years ago
- A New Optimization Technique for Deep Neural Networks☆540Updated 3 years ago
- A library for ML benchmarking. It's powerful.☆438Updated last year
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆507Updated 4 years ago
- Tensorflow tutorial for various Deep Neural Network visualization techniques☆346Updated 5 years ago
- Deep Neural Decision Trees☆163Updated 3 years ago
- Learning Confidence for Out-of-Distribution Detection in Neural Networks☆276Updated 7 years ago
- Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)☆867Updated 3 years ago
- Code for Neural Architecture Search without Training (ICML 2021)☆471Updated 4 years ago
- Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertaint…☆634Updated 3 years ago
- Open-source code for paper "Dataset Distillation"☆815Updated 4 months ago
- Class-Balanced Loss Based on Effective Number of Samples. CVPR 2019☆612Updated 4 years ago
- ☆226Updated 5 years ago
- Code for the Proceedings of the National Academy of Sciences 2020 article, "Understanding the Role of Individual Units in a Deep Neural N…☆304Updated 4 years ago
- Deep Anomaly Detection with Outlier Exposure (ICLR 2019)☆567Updated 4 years ago
- Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)☆61Updated 6 years ago
- Towards Automatic Concept-based Explanations☆161Updated last year
- Understanding Deep Networks via Extremal Perturbations and Smooth Masks☆346Updated 5 years ago
- Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"☆800Updated last year