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miao0o's Projects

caffe

Caffe: a fast open framework for deep learning.

caffe-excitationbp

Implementation of Excitation Backprop in Caffe

caffe-tensorflow

Caffe models in TensorFlow

cam

Class Activation Mapping

cam_tensorflow_localization

Tensorflow implementation of "Learning Deep Features for Discriminative Localization"

chainer-deconv-visualization

Chainer implementation of the paper Visualizing and Understanding Convolutional Networks, 2013

class-activation-mapping

tensorflow implementation of cnn localization project by CSAIL@MIT (CVPR'16)

cnn-visualization_gradcam_guidebackprop

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

cnn_visualising_deconv

Implement of the papaer in ECCV14(Visualizing and Understanding Convolutional Networks)

cocoapi

COCO API - Dataset @ http://cocodataset.org/

deep-learning-models

Keras code and weights files for popular image classification models.

deep_inside_convolutional_networks-caffe

This is a caffe implementation to visualize the learnt model

evaluation_visualization_methods

Evaluation of the visualization Methods for CNNs

finetune_alexnet_with_tensorflow

Code for finetuning AlexNet in TensorFlow 1.12

flickr30k-image-viewer

Small Flask-based apps to browse the Flickr30k dataset.

googlenet-keras

here is my implementation of the basic googLeNet describe in the paper "Going Deeper with Convolutions" in keras

googlenet-tensorflow

A tensorflow implementation of googlenet

grad-cam-tensorflow

tensorflow implementation of Grad-CAM (CNN visualization)

grad-cam.tensorflow

Implementation of Grad CAM in tensorflow

heatmap

Python package to combine image and heatmap

hori_verti_line_recognization

Horizontal and vertical line classification

imagenet

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

lenet-tensorflow

Implement the LeNet deep neural network model with TensorFlow.

machine-learning-yearning

Translation of <Machine Learning Yearning> by Andrew NG

mnist_cnn_backprop

Saliency maps generation on a simple CNN for mnist using backpropagation and guided backpropagation

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

pl-clc

Implementation for our paper "Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues."

recipes

Lasagne recipes: examples, IPython notebooks, ...

tensorflow

Computation using data flow graphs for scalable machine learning

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