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Jul 26, 2021 - Python
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loss
Here are 97 public repositories matching this topic...
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
python
opencl
recurrent-neural-networks
speech-recognition
beam-search
family
language-model
handwriting-recognition
ctc
loss
prefix-search
ctc-loss
fak-friend
level-lm
token-passing
best-path
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
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Apr 1, 2022 - Python
good first issue
Good for newcomers
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
image-reconstruction
generic
generative-adversarial-network
gan
autoencoder
image-generation
spade
pix2pix
frequency-domain
frequency-analysis
loss
variational-autoencoder
generative-models
image-synthesis
complementary
loss-function
stylegan2
iccv2021
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Oct 22, 2021 - Python
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
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Dec 24, 2018 - Jupyter Notebook
遥感图像的语义分割,基于深度学习,在Tensorflow框架下,利用TF.Keras,运行环境TF2.0+
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Apr 29, 2020 - Python
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
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Aug 4, 2020 - Python
YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!
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Aug 3, 2021 - Python
Prostate MR Image Segmentation 2012
tensorflow
medical-imaging
segmentation
image-segmentation
mri-images
vnet
prostate
loss
vnet3d
miccai-grand-challenge
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Nov 30, 2020 - Python
Horgix
commented
May 21, 2021
Currently, the classification.py CLI has a bunch of cool options, but only the --help one has a description.
I believe adding description (purpose, possible values, etc) for the different available options would make sense!
I also believe it concerns other CLI than the classification one, but didn't test for it
documentation
Improvements or additions to documentation
enhancement
New feature or request
good first issue
Good for newcomers
Loss modelling framework.
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Apr 21, 2022 - Python
Focal Loss of multi-classification in tensorflow
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Feb 25, 2019 - Python
An implementation for mnist center loss training and visualization
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Mar 2, 2018 - Python
Prostate MR Image Segmentation 2012
challenge
bmp
medical-imaging
segmentation
image-segmentation
python35
vnet
tensroflow
prostate
loss
segmentation-network
groupnormalization
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Jan 16, 2020 - Python
Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"
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May 3, 2021 - Python
Weighted Focal Loss for multilabel classification
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Nov 6, 2018 - Python
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
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Jun 3, 2021 - Jupyter Notebook
a simple pytorch implement of Multi-Sample Dropout
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Aug 14, 2019 - Python
Deep Attentive Center Loss
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Mar 11, 2021 - Python
A loss function for categories with a hierarchical structure.
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Sep 27, 2018 - Python
IOU as loss for object detection tasks and IOU as metric for object detection tasks
python
deep-learning
keras
deep
object-detection
metric
loss-functions
iou
loss
detection-tasks
bounding-box-regression
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Mar 30, 2018 - Python
Software to visualize detectron training stats
visualization
training
chart
deep-learning
regression
accuracy
loss
caffe2
detectron
training-stats
detectron-trainings-visualization
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Nov 20, 2018 - Java
pyIncore is a component of IN-CORE. It is a python package consisting of two primary components: 1) a set of service classes to interact with the IN-CORE web services, and 2) IN-CORE analyses . The pyIncore allows users to apply various hazards to infrastructure in selected areas, propagating the effect of physical infrastructure damage and loss of functionality to social and economic impacts.
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Apr 23, 2022 - Python
Code for eccv2020 paper: Fixing Localization Errors to Improve Image Classification
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Aug 25, 2020 - Python
Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
pytorch
face-recognition
embedding
loss
re-implementation
sphereface
arcface
face-embedding
cosface
magface
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May 2, 2021 - Python
This tool intents to help the network engineers (or anyone else) to analyze the path of the traffic via the Internet alayzing the tracroute collected with MTR against the information available in the public data sources.
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Jun 7, 2021 - Python
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HI, the repo is a nice work, thanks for your sharing.
I want to know if these augmentation methods are effective,
like the RandomErasing/Mixup/RandAugment/Cutout/CutMix?