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imagenet
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0xtyls
commented
Jan 3, 2020
I understand that these two python files show two different methods to construct a model. The original n_epoch is 500 which works perfect for both python files. But if I change n_epoch to 20, only tutorial_mnist_mlp_static.py can achieve a high test accuracy (~0.97). The other file tutorial_mnist_mlp_static_2.py only get 0.47.
The models built from these two files looks the same for me (the s
Friendly machine learning for the web! 🤖
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Jul 12, 2020 - JavaScript
Powerful and efficient Computer Vision Annotation Tool (CVAT)
computer-vision
deep-learning
image-annotation
annotation
tensorflow
video-annotation
annotations
dataset
imagenet
image-classification
labeling
semantic-segmentation
annotation-tool
boundingbox
image-labeling
labeling-tool
computer-vision-annotation
image-labelling-tool
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Jul 16, 2020 - Python
Label Studio is a multi-type data labeling and annotation tool with standardized output format
computer-vision
deep-learning
image-annotation
annotation
annotations
dataset
yolo
imagenet
image-classification
labeling
datasets
semantic-segmentation
annotation-tool
text-annotation
boundingbox
image-labeling
labeling-tool
image-labelling-tool
data-labeling
label-studio
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Jul 16, 2020 - JavaScript
Segmentation models with pretrained backbones. PyTorch.
models
image-processing
pytorch
neural-networks
imagenet
segmentation
pretrained-models
image-segmentation
unet
semantic-segmentation
pspnet
fpn
unet-pytorch
linknet
segmentation-models
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Jun 19, 2020 - Python
Sandbox for training convolutional networks for computer vision
machine-learning
deep-learning
neural-network
mxnet
chainer
tensorflow
keras
pytorch
classification
imagenet
image-classification
segmentation
human-pose-estimation
pretrained-models
gluon
cifar
semantic-segmentation
3d-face-reconstruction
tensorflow2
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Jul 3, 2020 - Python
Labelbox is the fastest way to annotate data to build and ship computer vision applications.
recognition
tools
computer-vision
deep-learning
image-annotation
annotation
tensorflow
detection
imagenet
image-classification
labeling
image-segmentation
bounding-boxes
annotation-tool
boundingbox
image-labeling
labeling-tool
computer-vision-annotation
image-labeling-tool
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Apr 30, 2020 - JavaScript
Implementation of EfficientNet model. Keras and TensorFlow Keras.
deep-learning
efficient
classification
imagenet
image-classification
pretrained-models
mobilenet
nasnetmobile
efficientnet
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Jul 7, 2020 - Python
Caffe models (including classification, detection and segmentation) and deploy files for famouse networks
caffe
detection
classification
imagenet
faster-rcnn
segmentation
resnet
inception
inception-resnet
resnext
caffemodel
dpn
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Mar 22, 2018 - Python
Caffe Implementation of Google's MobileNets (v1 and v2)
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Apr 2, 2019 - Python
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
nlp
machine-learning
deep-learning
neural-network
tensorflow
keras
image-processing
cnn
imagenet
cifar10
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Sep 28, 2019 - Jupyter Notebook
[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"
tensorflow
imagenet
convolutional-neural-networks
cvpr
model-compression
mobilenet
efficient-inference
fbnet
mobilenetv3
cvpr2020
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Jun 22, 2020 - Python
Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.
audio
machine-learning
computer-vision
deep-learning
desktop
dataset
named-entity-recognition
classification
imagenet
udt
image-segmentation
semantic-segmentation
annotation-tool
text-annotation
entity-recognition
annotate-images
image-labeling-tool
text-labeling
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Jul 16, 2020 - JavaScript
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
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May 29, 2020 - Python
Classification models trained on ImageNet. Keras.
keras
vgg
imagenet
densenet
resnet
pretrained-models
inceptionv3
resnext
pretrained-weights
imagenet-classifier
mobilenet
classification-model
senet
xception
nasnet
inception-resnet-v2
squeeze-and-excitation
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Apr 7, 2020 - Python
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
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Jun 11, 2020 - HTML
Evaluation of the CNN design choices performance on ImageNet-2012.
benchmark
caffe
architecture
dataset
imagenet
convolutional-networks
convolutional-neural-networks
activations
relu
batch-size
caffenet
lr-policy
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Jul 30, 2017 - Jupyter Notebook
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
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Jun 26, 2019 - Python
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
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Jun 3, 2020 - Python
PyTorch to Keras model convertor
converter
deep-learning
tensorflow
keras
pytorch
imagenet
densenet
machinelearning
resnet
darts
keras-models
keras-neural-networks
tensorflow-models
keras-tensorflow
pytorch-models
onnx
deep-learning-models
tensorflowjs
keras-model-convertor
models-converter
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May 14, 2020 - Python
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
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May 17, 2019 - Python
MobileNetV3 in pytorch and ImageNet pretrained models
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Jun 23, 2019 - Python
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
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Jun 29, 2020 - Python
Train the HRNet model on ImageNet
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Mar 26, 2020 - Python
Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition
video
tensorflow
detection
dataset
yolo
classification
imagenet
object-detection
inception
tensorbox
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Jan 21, 2020 - Python
Unsupervised Feature Learning via Non-parametric Instance Discrimination
computer-vision
deep-learning
pytorch
imagenet
representation-learning
unsupervised-learning
nce
cvpr2018
self-supervised-learning
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Sep 3, 2018 - Python
Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）
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Apr 3, 2019 - Lua
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It would be nice to mention the dependency on
libxml2-dev libxslt1-devin the docs when building from source on Ubuntu.