khanx169 / hal_tutorialLinks
Materials for the tutorial I gave to new HAL system users on "Introduction to Deep Learning" at the National Center for Supercomputing Applications
☆12Updated 6 years ago
Alternatives and similar repositories for hal_tutorial
Users that are interested in hal_tutorial are comparing it to the libraries listed below
Sorting:
- Multi3Net: Segmenting Flooded Buildings via Fusion of Multiresolution, Multisensor, and Multitemporal Satellite Imagery☆61Updated 7 years ago
- Code for "Bridging the Gap between f-GANs and Wasserstein GANs", ICML 2020☆14Updated 5 years ago
- ☆28Updated 3 years ago
- PyTorch Implementation of Weakly Supervised Pre-training - [IJCAI19]☆12Updated 5 years ago
- Implementation of the Convolutional Conditional Neural Process☆128Updated 4 years ago
- Framework for geospatial research CNN development.☆11Updated 4 years ago
- Demonstration and tutorial notebooks for the Higra library☆13Updated 3 months ago
- This is an article about using variational autoencoders for the generation of new data. It contains the code for generating the plots and…☆12Updated 4 years ago
- Curator can be used to train a classifier with fewer labeled examples needed using self-supervised learning.☆113Updated 3 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆44Updated 6 years ago
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆41Updated 5 years ago
- A spherical convolutional neural network for cosmology (TFv1).☆134Updated 5 years ago
- Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ☆59Updated 6 years ago
- Reproducible code for Augmentation paper☆17Updated 6 years ago
- Experiments with Neural Ordinary Differential Equations on image and text classification tasks☆33Updated 6 years ago
- Notebooks for managing NeurIPS 2014 and analysing the NeurIPS experiment.☆13Updated last year
- Full loss Hessian spectrum approximation tool.☆13Updated 6 years ago
- ☆13Updated 3 years ago
- Python code to generate the Toulouse Road Network dataset introduced in "Image-Conditioned Graph Generation for Road Network Extraction"☆30Updated 9 months ago
- Pytorch implementation of Pixel Constrained CNN, a framework for probabilistic semantic inpainting☆33Updated 2 years ago
- Source code for paper Conservative Uncertainty Estimation By Fitting Prior Networks (ICLR 2020)☆22Updated 3 years ago
- [ICLR 2021] Beyond Categorical Label Representations for Image Classification☆25Updated 4 years ago
- ☆21Updated 3 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- ☆25Updated 3 years ago
- ☆27Updated 2 years ago
- Open-source code for the paper "Representation Learning for Remote Sensing: An Unsupervised Sensor Fusion Approach ".☆30Updated 2 years ago
- PyTorch implementation of "Image-Conditioned Graph Generation for Road Network Extraction"☆83Updated last year
- a python powered CUDA isomap implementation.☆12Updated 12 years ago
- LSiM is a learned metric to compute distance values for 2D data from numerical simulations☆28Updated 2 years ago