#
segmentation
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Tutorials, assignments, and competitions for MIT Deep Learning related courses.
data-science
machine-learning
mit
deep-learning
tensorflow
deep-reinforcement-learning
artificial-intelligence
neural-networks
segmentation
tensorflow-tutorials
deeplearning
jupyter-notebooks
self-driving-cars
deep-rl
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May 17, 2021 - Jupyter Notebook
Pytorch implementation of convolutional neural network visualization techniques
grad-cam
pytorch
segmentation
gradient
cam
saliency
deep-dream
guided-backpropagation
guided-grad-cam
gradient-visualization
cnn-visualization
smooth-grad
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Updated
Jul 12, 2021 - Python
Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.
machine-learning
embedded
caffe
computer-vision
deep-learning
robotics
inference
nvidia
digits
image-recognition
segmentation
object-detection
jetson-tx1
jetson
tensorrt
jetson-tx2
video-analytics
jetson-xavier
jetson-nano
jetson-xavier-nx
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Sep 19, 2021 - C++
deep learning for image processing including classification and object-detection etc.
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Updated
Sep 18, 2021 - Python
Segmentation models with pretrained backbones. PyTorch.
models
image-processing
pytorch
neural-networks
imagenet
segmentation
pretrained-models
image-segmentation
unet
semantic-segmentation
pretrained-weights
pspnet
fpn
deeplabv3
unet-pytorch
deeplab-v3-plus
linknet
segmentation-models
unetplusplus
pretrained-backbones
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Sep 18, 2021 - Python
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
tensorflow
keras
segmentation
densenet
resnet
image-segmentation
unet
keras-models
resnext
pre-trained
keras-tensorflow
mobilenet
pspnet
pretrained
fpn
keras-examples
linknet
segmentation-models
tensorflow-keras
efficientnet
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May 18, 2021 - Python
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
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Apr 21, 2021 - Python
Mask RCNN in TensorFlow
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Jan 5, 2021 - Python
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
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Updated
Sep 5, 2019 - Python
PaddlePaddle End-to-End Development Toolkit(『飞桨』深度学习全流程开发工具)
deep-neural-networks
deployment
detection
neural-networks
classification
segmentation
resnet
deeplearning
unet
industry
jetson
mobilenet
yolov3
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Updated
Sep 18, 2021 - Python
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
python
computer-vision
deep-learning
tensorflow
dataset
segmentation
densenet
upsampling
semantic-segmentation
epoch
iou
encoder-decoder
refinenet
semantic-segmentation-models
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Apr 22, 2021 - Python
Sandbox for training deep learning networks
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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Sep 3, 2021 - Python
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
transformer
segmentation
high-resolution
semantic-segmentation
cityscapes
pascal-context
lip
high-resolution-net
hrnets
segmentation-transformer
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Updated
Jul 20, 2021 - Python
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
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Updated
May 16, 2020 - Python
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Sep 1, 2021 - Python
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
tracking
deep-learning
detection
segmentation
object-detection
optical-flow
papers
tracking-by-detection
code-collection
paper-collection
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Jul 21, 2021
Paper and implementation of UNet-related model.
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Updated
May 21, 2020 - Python
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
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Aug 27, 2020 - Python
Unsupervised Word Segmentation for Neural Machine Translation and Text Generation
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Feb 15, 2021 - Python
Awesome GAN for Medical Imaging
detection
medical-imaging
registration
generative-adversarial-network
gan
segmentation
deeplearning
reconstruction
super-resolution
ct-denoising
medical-image-synthesis
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Jun 10, 2021
Pytorch framework for doing deep learning on point clouds.
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Updated
Sep 17, 2021 - Python
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
python
deep-neural-networks
deep-learning
neural-network
tensorflow
ml
python3
distributed
medical-imaging
pip
gan
autoencoder
segmentation
convolutional-neural-networks
python2
medical-image-computing
medical-images
medical-image-processing
image-guided-therapy
medical-image-analysis
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Apr 21, 2020 - Python
《深度学习与计算机视觉》配套代码
caffe
computer-vision
deep-learning
mxnet
book
example
detection
regression
pytorch
gan
classification
segmentation
generative
unet
adversarial
beginners
siamese
u-net
model-fusion
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Updated
Nov 30, 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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Updated
Mar 22, 2018 - Python
Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)
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Updated
Mar 1, 2020 - Jupyter Notebook
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
machine-learning
deep-neural-networks
robotics
point-cloud
classification
segmentation
convolutional-neural-networks
autonomous-driving
shapenet
pointcloud
scannet
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Updated
Sep 3, 2021 - Python
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
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Mar 19, 2021 - Python
Convolutional Neural Network for 3D meshes in PyTorch
machine-learning
computer-graphics
pytorch
mesh
segmentation
convolutional-neural-networks
3d
geometric-deep-learning
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Mar 9, 2020 - Python
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