tdeboissiere / cookiecutter-deeplearningLinks
Project folder structure for doing and sharing deep learning work.
☆39Updated 8 years ago
Alternatives and similar repositories for cookiecutter-deeplearning
Users that are interested in cookiecutter-deeplearning are comparing it to the libraries listed below
Sorting:
- Pytorch Cheatsheet☆91Updated 7 years ago
- Experiments for Jeremy Howard's deep learning courses☆39Updated 8 years ago
- ☆159Updated 7 years ago
- Keras implementation of Deep Learning papers☆95Updated 7 years ago
- Various ML/DL Resources organised at a single place.☆189Updated 4 years ago
- Implementation of the SAN model for imparting gender privacy to face images☆63Updated 4 years ago
- ☆107Updated 7 years ago
- ☆52Updated 7 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 6 years ago
- The versatility of Python enlightened by Torch to seize Deep Learning☆129Updated 8 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆144Updated 2 years ago
- An end-to-end walkthrough of the winning submission by grt123 for the Kaggle Data Science Bowl 2017☆69Updated 8 years ago
- A compiled list of kaggle competitions and their winning solutions for image problems.☆55Updated 9 years ago
- ☆113Updated 2 years ago
- This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).☆67Updated 6 years ago
- CapsNet (from "Dynamic Routing Between Capsules") implemented in pytorch.☆113Updated 5 years ago
- Implement most common semantic segmentation algorithms☆26Updated 8 years ago
- Pytorch exercises☆98Updated 8 years ago
- Streamlined machine learning experiment management.☆108Updated 5 years ago
- A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets☆76Updated 7 years ago
- ☆42Updated 8 years ago
- ☆87Updated 7 years ago
- Keras based Tutorials and implementations for "Self-normalizing networks" - new activation function SELU☆48Updated 4 years ago
- Your every day Keras toolbox.☆76Updated 7 years ago
- Learn how to visualize your own image data or features on Tensorboard Embedding Visualizer☆99Updated 4 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 6 years ago
- Visualizing filters by finding images that maximize their outputs☆135Updated 7 years ago
- Repository for tackling Kaggle Ultrasound Nerve Segmentation challenge using Torchnet.☆48Updated 9 years ago
- This is an implementation of the fastai part1 v2 course in Keras☆28Updated 7 years ago
- Dashboard for sacred. Monitor and access your past machine learning experiments.☆185Updated 6 years ago