eclique / Keras Gradcam
Licence: mit
Keras implementation of GradCAM.
Stars: ✭ 98
Labels
Projects that are alternatives of or similar to Keras Gradcam
Uq bnn
Uncertainty quantification using Bayesian neural networks in classification (MIDL 2018, CSDA)
Stars: ✭ 97 (-1.02%)
Mutual labels: jupyter-notebook
Graph2nn
code for paper "Graph Structure of Neural Networks"
Stars: ✭ 98 (+0%)
Mutual labels: jupyter-notebook
Machine Learning
Implementation of different machine learning techniques
Stars: ✭ 97 (-1.02%)
Mutual labels: jupyter-notebook
Food 101 Mobile
Deep Learning Food Classifier for iOS using Keras and Tensorflow
Stars: ✭ 97 (-1.02%)
Mutual labels: jupyter-notebook
Soccer Ball Detection Yolov2
YOLOv2 trained against custom dataset
Stars: ✭ 97 (-1.02%)
Mutual labels: jupyter-notebook
Droneblocks Tello Python
A DroneBlocks course on drone programming with Tello using Python scripts
Stars: ✭ 98 (+0%)
Mutual labels: jupyter-notebook
Kglab
Graph-Based Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, RDFlib, pySHACL, RAPIDS, NetworkX, iGraph, PyVis, pslpython, pyarrow, etc.
Stars: ✭ 98 (+0%)
Mutual labels: jupyter-notebook
Lein Jupyter
A Leiningen plugin to integrate clojure with jupyter notebook
Stars: ✭ 97 (-1.02%)
Mutual labels: jupyter-notebook
Talks
Code, slides, and documentation for the talks I have given.
Stars: ✭ 97 (-1.02%)
Mutual labels: jupyter-notebook
Rlai Exercises
Exercise Solutions for Reinforcement Learning: An Introduction [2nd Edition]
Stars: ✭ 97 (-1.02%)
Mutual labels: jupyter-notebook
Hmm
An implementation of the Viterbi Algorithm for training Hidden Markov models. This repo accompanies the video found here: https://www.youtube.com/watch?v=kqSzLo9fenk
Stars: ✭ 98 (+0%)
Mutual labels: jupyter-notebook
Bigdata
NJU Master Course **Big Data Mining and Analysis**
Stars: ✭ 98 (+0%)
Mutual labels: jupyter-notebook
keras-gradcam
Keras implementation of GradCAM.
Adapted and optimized code from https://github.com/jacobgil/keras-grad-cam.
Original torch implementation: https://github.com/ramprs/grad-cam.
To run script: python grad_cam.py </path/to/img>
.
Notebook has more details on usage and code to efficiently process multiple images.
Description
Repository contains implementation of three approaches to explain base model predictions:
- Guided Backpropagation;
- Grad-CAM;
- Guided Grad-CAM, which is just multiplication of the first two.
Implementation uses Tensorflow as backend and VGG16 as base model.
Examples
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].