jayybhatt / neumann-optimizerLinks
☆8Updated 6 years ago
Alternatives and similar repositories for neumann-optimizer
Users that are interested in neumann-optimizer are comparing it to the libraries listed below
Sorting:
- ☆52Updated 6 years ago
- A python toolbox for GP analysis written in a functional programming style☆22Updated 7 years ago
- Utilities for nolearn.lasagne☆21Updated 8 years ago
- Wining solution and its further development for MICCAI 2017 Endoscopic Vision Challenge Angiodysplasia Detection and Localization☆16Updated 6 years ago
- Spinal cord gray matter segmentation using deep dilated convolutions.☆45Updated 7 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 7 years ago
- Gaussian Process Regression for Python/Numpy☆14Updated 9 years ago
- stochs: fast stochastic solvers for machine learning in C++ and Cython☆26Updated 2 years ago
- Rank Ordered Autoencoder implementation as described in https://arxiv.org/abs/1605.01749☆34Updated 9 years ago
- Useful implementations of metrics for competitions on www.drivendata.org☆8Updated 7 years ago
- Distill submission☆33Updated last year
- ☆33Updated 8 years ago
- A Cython interface to FLANN☆24Updated 4 years ago
- Ordered Weighted L1 regularization for classification and regression in Python☆52Updated 6 years ago
- Random fiddling stored in notebooks☆22Updated 8 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 7 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Tool for managing deep learning experiments☆13Updated 7 years ago
- Based on SciPy's normalized git stats, adapted for Deep Learning frameworks☆16Updated 8 years ago
- ☆37Updated 6 years ago
- Convenient hyperparameter optimization☆14Updated last year
- Keras implementation of: Fitted Learning: Models with Awareness of their Limits☆13Updated 8 years ago
- Generative Adversarial Networks in Keras☆46Updated 4 years ago
- Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018☆34Updated 6 years ago
- Running Mask-RCNN on Dask with PyTorch☆27Updated 6 years ago
- DropNeuron: Simplifying the Structure of Deep Neural Networks☆59Updated 9 years ago
- ☆13Updated 9 years ago
- A Python gradient-descent implementation of the Neighborhood Components Analysis (NCA) method for metric learning.☆15Updated 8 years ago
- Introduction to PyTorch Workshop at the AMLD 2019☆31Updated 6 years ago
- Documented code with instructions to reproduce results of paper submitted to ECML☆13Updated 6 years ago