-
Updated
Aug 5, 2020 - Python
#
imagenet
Here are 305 public repositories matching this topic...
Deep Learning and Reinforcement Learning Library for Scientists and Engineers 🔥
python
google
reinforcement-learning
deep-learning
neural-network
tensorflow
chatbot
artificial-intelligence
gan
dqn
imagenet
tensorflow-tutorials
object-detection
a3c
tensorlayer
tensorflow-tutorial
-
Updated
Jul 2, 2020 - Python
azhavoro
commented
Jun 29, 2020
My actions before raising this issue
- Read/searched the docs
- Searched past issues
Current version of pyAV is 6.2.0. Need to update it till 8.x.
Also PyAV d
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
-
Updated
Aug 21, 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
-
Updated
Jul 17, 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
-
Updated
Jul 23, 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
-
Updated
Aug 12, 2020 - JavaScript
Implementation of EfficientNet model. Keras and TensorFlow Keras.
deep-learning
efficient
classification
imagenet
image-classification
pretrained-models
mobilenet
nasnetmobile
efficientnet
-
Updated
Aug 6, 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
-
Updated
Mar 22, 2018 - Python
Caffe Implementation of Google's MobileNets (v1 and v2)
-
Updated
Apr 2, 2019 - Python
Hyperparticle
commented
Mar 31, 2018
Modify 2_one-pixel-attack-imagenet.ipynb to download a sample subset of ImageNet files with appropriate labels. The files should be preprocessed as to be ready for the attack.
[CVPR2020] Surpassing MobileNetV3: "GhostNet: More Features from Cheap Operations"
tensorflow
imagenet
convolutional-neural-networks
cvpr
model-compression
mobilenet
efficient-inference
fbnet
mobilenetv3
cvpr2020
-
Updated
Jun 22, 2020 - Python
seveibar
commented
Aug 8, 2020
Also, "prev" button should not show if there is no previous sample
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
-
Updated
Aug 19, 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
-
Updated
Apr 7, 2020 - Python
Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779
-
Updated
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
-
Updated
Jul 30, 2017 - Jupyter Notebook
Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"
-
Updated
Jun 26, 2019 - Python
PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet
-
Updated
Jul 28, 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
-
Updated
May 14, 2020 - Python
MobileNetV3 in pytorch and ImageNet pretrained models
-
Updated
Jun 23, 2019 - Python
Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"
-
Updated
Jun 29, 2020 - Python
Train the HRNet model on ImageNet
-
Updated
Mar 26, 2020 - Python
Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018
-
Updated
May 17, 2019 - 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
-
Updated
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
-
Updated
Sep 3, 2018 - Python
Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）
-
Updated
Apr 3, 2019 - Lua
Improve this page
Add a description, image, and links to the imagenet topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the imagenet topic, visit your repo's landing page and select "manage topics."
It seems that the doc website is using a router in hash mode. For example, URL of the index of the reference section is https://learn.ml5js.org/docs/#/reference/index. There is a hash tag "#" in the URL.
This may make it a little obfuscating for people who want to memorize the link and share it with others.
I recommend changing the router from hash mode to history mode to remove the ugly has