patrickbrus / TransferLearning_and_CMAPLinks
This repository includes two jupyter notebooks. The first one retrains the already pre-trained ResNet-50 using transfer learning in order to classify fruits from the Kaggle 360 Fruits challenge (https://www.kaggle.com/moltean/fruits). The architecute will be adapted in order to compute the class activation maps within the second notebook.
☆10Updated 5 years ago
Alternatives and similar repositories for TransferLearning_and_CMAP
Users that are interested in TransferLearning_and_CMAP are comparing it to the libraries listed below
Sorting:
- Spatial Data Analysis with High Performance Computing (HPC)☆10Updated this week
- Time-Series Clustering: Overview, R-packages☆44Updated 3 months ago
- My data science projects, in Python, R, and Julia, about statistical learning and Bayesian inference.☆16Updated last week
- This is a repository for the geographically-weighted regression submodule of the Python Spatial Analysis Library☆17Updated 7 years ago
- A multi-purpose dataset for data-driven wildfire modeling in the Mediterranean. Deep Learning models for wildfire modeling, e.g. danger f…☆56Updated 8 months ago
- A simple guide to a vanilla CNN for regression, potentially useful for engineering applications.☆48Updated 5 years ago
- Temporal Convolutional Neural Network for the Classification of Satellite Image Time Series☆163Updated 5 years ago
- SXL: Spatially explicit learning of geographic processes with auxiliary tasks☆15Updated 3 years ago
- A spatial optmization library for covering problems.☆14Updated last year
- Development and Reseach for Typhoon Impact Forecasting Model☆16Updated 3 months ago
- Deep Learning Models for Wildfire Danger Forecasting☆74Updated 3 years ago
- A geospatial framework for performing non-linear regression, designed to effectively model complex spatial relationships.☆31Updated 5 months ago
- Encoding human activity by considering salient sensors and time points.☆41Updated 2 years ago
- An R-Software package for multi-variate spatio-temporal modelling☆11Updated 3 years ago
- ☆55Updated 3 years ago
- ☆16Updated 4 years ago
- Code and models for the HESS paper on mass conservation and extrapolation with deep learning☆14Updated 2 years ago
- The GeoDa C++ Library☆18Updated 6 months ago
- Repository includes resources used in GEOG 4GA3 Applied Spatial Statistics☆22Updated 4 years ago
- STICC: A multivariate spatial clustering method for repeated geographic pattern discovery with consideration of spatial contiguity☆37Updated last year
- ☆17Updated 6 years ago
- r scripts for 3d kriging interpolation☆10Updated 10 years ago
- ☆16Updated 4 years ago
- ST-OPTICS: Spatio-temporal clustering based on OPTICS☆20Updated 4 years ago
- Weather conditions forecast with LSTM-CNN model☆10Updated last year
- Source code to Rußwurm & Körner 2019. Self-Attention for Raw Optical Satellite Time Series Classification☆163Updated last year
- Repo related to our AAAI 2021 paper "A spatio-temporal LSTM model to forecast across multiple temporal and spatial scales"☆32Updated 2 years ago
- Geographically Weighted Artificial Neural Network☆32Updated 3 months ago
- A professional list of Papers on AI for Spatial Interpolation in AI conferences and journals.☆11Updated last year
- Code and data repository for the paper☆50Updated 5 months ago