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
- SmoothOut: Smoothing Out Sharp Minima to Improve Generalization in Deep Learning☆23Updated 6 years ago
- predicting learning curves in python☆43Updated 7 years ago
- Parallel SGD, done locally and remote☆15Updated 8 years ago
- ☆19Updated 5 years ago
- Code for our paper "CliqueCNN: Deep Unsupervised Exemplar Learning" https://arxiv.org/abs/1608.08792☆23Updated 7 years ago
- Code of "Max-margin Deep Generative Models" (NIPS15)☆18Updated 9 years ago
- Minimal Tensorflow implementation of the paper "Neural Architecture Search With Reinforcement Learning" presented at ICLR 2017☆42Updated 7 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
- demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"☆11Updated 5 years ago
- Towards Visual Explanations for Convolutional Neural Networks via Input Resampling☆14Updated 7 years ago
- RNNprop☆36Updated 7 years ago
- Implements an infinite sum of poisson-weighted convolutions☆26Updated 6 years ago
- Generalized Compressed Network Search with PyTorch☆26Updated 7 years ago
- Proximal Asynchronous SAGA☆13Updated 7 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
- simple python interface to SMAC.☆21Updated 6 years ago
- Active learning for deep learning☆20Updated 6 years ago
- numpy implementation of net 2 net from the paper Net2Net: Accelerating Learning via Knowledge Transfer http://arxiv.org/abs/1511.05641☆53Updated 8 years ago
- Python implementation of the infomration bottleneck method (tishby et al, 1999)☆36Updated 7 years ago
- Conference notes for AAAI 2019☆15Updated 5 years ago
- Code for "Deep Convolutional Networks as shallow Gaussian Processes"☆39Updated 5 years ago
- Proceedings of ICML 2018☆39Updated last year
- ☆12Updated 5 years ago
- Fork of cma-es library by Nikolaus Hansen☆11Updated 7 years ago
- Survey of hyperparameter optimization use in NIPS2014☆12Updated 9 years ago
- Interpreting neural networks via the STREAK algorithm (streaming weak submodular maximization)☆22Updated 7 years ago
- Python implementation of Conditional Random Fields (CRF) for Optical Character Recognition (OCR)☆7Updated 9 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago