tdomhan / pylearningcurvepredictor
predicting learning curves in python
☆20Updated 9 years ago
Alternatives and similar repositories for pylearningcurvepredictor:
Users that are interested in pylearningcurvepredictor are comparing it to the libraries listed below
- predicting learning curves in python☆43Updated 7 years ago
- Parallel SGD, done locally and remote☆14Updated 8 years ago
- Code for "On the Relation Between the Sharpest Directions of DNN Loss and the SGD Step Length", ICLR 2019☆11Updated 2 years ago
- Implementation of the Deep Frank-Wolfe Algorithm -- Pytorch☆62Updated 3 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆13Updated 7 years ago
- Analyzing deviation from orthogonality in RNNs☆16Updated 7 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago
- This repository contains the code for the paper "Few-Shot Learning Through an Information Retrieval Lens". Eleni Triantafillou, Richard Z…☆25Updated 7 years ago
- ☆34Updated 5 years ago
- Code for the paper "Feature Grouping as a Stochastic Regularizer for High-Dimensional Structured Data" at ICML 2019.☆20Updated 5 years ago
- An iterative neural autoregressive distribution estimator (NADE-K)☆26Updated 10 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Code for paper by Bamler & Mandt, "Extreme Classification via Adversarial Softmax Approximation" (ICLR 2020)☆14Updated 4 years ago
- RNNprop☆36Updated 7 years ago
- Computing various norms/measures on over-parametrized neural networks☆49Updated 6 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆41Updated 7 years ago
- ☆38Updated 6 years ago
- Understanding Short-Horizon Bias in Stochastic Meta-Optimization☆37Updated 6 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- Fork of Microsoft/LightGBM to include support for the CEGB (Cost Efficient Gradient Boosting) algorithm. Original repository at https://g…☆13Updated 7 years ago
- ☆26Updated 5 years ago
- TensorFlow implementation of the method from Variational Dropout Sparsifies Deep Neural Networks, Molchanov et al. (2017)☆16Updated 7 years ago
- boundary-seeking generative adversarial networks☆46Updated 7 years ago
- Implementation of Adversarial Variational Optimization in PyTorch☆43Updated 6 years ago
- ☆17Updated 7 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago
- Proceedings of ICML 2018☆39Updated 2 years ago
- Denoising Adversairal Autoencoders☆40Updated 7 years ago
- ☆11Updated 5 years ago