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Apr 22, 2019 - Python
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resnet-50
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Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano
nlp
opencv
natural-language-processing
deep-learning
sentiment-analysis
word2vec
keras
generative-adversarial-network
autoencoder
glove
t-sne
segnet
keras-models
keras-layer
latent-dirichlet-allocation
denoising-autoencoders
svm-classifier
resnet-50
anomaly-detection
variational-autoencoder
Tools to Design or Visualize Architecture of Neural Network
tools
tensorflow
keras
cnn
machinelearning
resnet
alexnet
deeplearning
visualize
visualize-data
resnet-50
visu
visualize-networks
visualization-neural-network
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Jun 25, 2020
ImageNet pre-trained models with batch normalization for the Caffe framework
caffe
vgg
batch-normalization
imagenet
resnet
alexnet
vggnet
pretrained-models
vgg16
fine-tune
vgg19
cnn-model
caffe-framework
pre-trained
fine-tuning-cnns
resnet-10
resnet-50
resnet-preact
ilsvrc
very-deep-cnn
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Nov 26, 2017 - Python
Keras implementation of a ResNet-CAM model
localization
keras
localisation
cnn
classification
image-classification
resnet
image-analysis
keras-models
keras-classification-models
keras-neural-networks
cnn-keras
cnn-model
keras-visualization
keras-tensorflow
resnet-50
cnns
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Feb 1, 2018 - Python
An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.
deep-learning
pytorch
faster-rcnn
object-detection
vgg16
resnet-50
mscoco-dataset
resnet-18
resnet-101
voc-dataset
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Jul 3, 2020 - Python
RetinaFace (Single-stage Dense Face Localisation in the Wild, 2019) implemented (ResNet50, MobileNetV2 trained on single GPU) in Tensorflow 2.0+. This is an unofficial implementation. With Colab.
tensorflow
tf2
colab
face-detection
resnet-50
facedetection
mobilenetv2
colab-notebook
tensorflow2
retinaface
retinaface-detector
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Jun 4, 2020 - Python
Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"
pytorch
imagenet
unsupervised-learning
resnet-50
moco
self-supervised-learning
momentum-contrast
contrast-learning
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Mar 25, 2020 - Python
code for ICCV19 paper "Deep Meta Metric Learning"
pytorch
baseline
metric-learning
person-reidentification
resnet-50
meta-learning
vehicle-reidentification
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Jul 30, 2019 - Python
Detecting cinema shot types using a ResNet-50
deep-learning
pytorch
resnet
convolutional-neural-networks
filmmaking
fastai
heatmaps
resnet-50
applied-machine-learning
applied-deep-learning
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Jan 14, 2020 - Jupyter Notebook
A one stop shop for all of your activity recognition needs.
video
computer-vision
deep-learning
tensorflow
convnet
activity-recognition
resnet
inception
tfrecords
action-recognition
temporal-segment-networks
c3d
resnet-50
lrcn
i3d
lrcn-network
tsn
m-pact
mpact
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May 24, 2019 - Python
A Multiclass Weed Species Image Dataset for Deep Learning
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Feb 14, 2019 - C++
Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same
image
deep-neural-networks
deep-learning
neural-network
python3
pytorch
image-classification
image-search
resnet
python-3
convolutional-neural-networks
image-retrieval
triplet-loss
resnet-50
image-rank
tiny-imagenet200
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Apr 13, 2019 - Python
CP and Tucker decomposition for Convolutional Neural Networks
training
compression
deep-learning
decomposition
alexnet
convolutional-neural-networks
tucker
resnet-50
fine-tuning
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May 6, 2018 - Python
No reference image quality assessment based Semantic Feature Aggregation, published in ACM MM 2017, TMM 2019
caffe
resnet-50
image-quality-assessment
blind-image-quality-assessment
camera-images
image-content-variation
plsr-model
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Jul 31, 2020 - MATLAB
s / CoreMLDemo
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
deep-learning
pytorch
object-detection
resnet-50
mscoco-dataset
resnet-18
resnet-101
fpn
voc-dataset
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Jan 24, 2019 - Python
Backbone Can Not be Trained at Once: Rolling Back to Pre-trained Network for Person Re-Identification (AAAI2019)
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Jun 11, 2019 - Python
Image classification of wildflowers using deep residual learning and convolutional neural nets
theano
deep-learning
cnn
image-classification
gps-location
deep-networks
cnn-keras
resnet-50
plant-identification
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Aug 11, 2017 - Python
Deep-learning seismic facies on state-of-the-art CNN architectures
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Aug 21, 2020 - Jupyter Notebook
Exploring the connections between artworks with deep "Visual Analogies"
react
art
search
machine-learning
ai
deep-learning
image-retrieval
k-nearest-neighbours
resnet-50
nuerips
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Aug 18, 2020 - TypeScript
Computer Vision - Impemented algorithms - Hybrid image, Corner detection, Scale space blob detection, Scene classifiers, Vanishing point detection, Finding height of an object, Image stitching.
python
computer-vision
deep-learning
svm
corner-detection
transfer-learning
vgg16
image-stitching
googlenet
kmeans-clustering
hybrid-image
vanishing-points
resnet-50
blob-detection
knn-classification
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Jun 6, 2018 - Python
Visualizing where the Convolution Network is looking through CAM.
visualization
deep-neural-networks
deep-learning
resnet
convolutional-neural-networks
resnet-50
class-activation-maps
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Jun 3, 2018 - Python
This is an experimental code to train a ResNet-50 made entirely in Tensorflow on Dogs-vs-Cats-Redux
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Dec 25, 2017 - Python
IntelliP (Intelligent Photos) is a Windows photo gallery that intelligently organizes the pictures in your computer into 12 unique and related categories.
python
windows
playground
machine-learning
python3
artificial-intelligence
kivy
artificial-neural-networks
offline-capable
resnet-50
imageai
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Jul 25, 2018 - Python
A tutorial on Residual Networks which was originally proposed by Kaiming He, Xiangyu Zhang, Shaoqing Ren and Jian Sun from Microsoft Research Team.
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Jan 7, 2018 - Jupyter Notebook
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Feb 13, 2018 - Python
Open
How to contribute?
7
arthurfigueiredo
commented
Mar 24, 2020
Hi,
I'm also a UFSC Araranguá student from course of Information Tecnology and Comunication.
I've experience working with python, data structures, algorithms, database etc.
I'm looking for a completion course work and I'm interested in this problem, how can i contribute to this project?
my email is arthurfn.webdev@gmail.com
Keras Implementation of major CNN architectures
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Jul 3, 2018 - Jupyter Notebook
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Thank you for open sourcing, can you please add how to train the conditional model in the documentation ? Thanks