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Search results for python loss
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25 search results found
Asl
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577
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
Ctcdecoder
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577
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Focal Frequency Loss
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407
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
Cavaface
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359
🍻 🚀 🌆 face recognition training project(pytorch)
Neural Network From Scratch
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211
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Oasislmf
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114
Loss modelling framework.
Yet Another Yolov4 Pytorch
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112
YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!
Torchelie
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110
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
Vnet3d
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81
Prostate MR Image Segmentation 2012
Keras Mnist Center Loss With Visualization
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59
An implementation for mnist center loss training and visualization
Anchorloss
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52
Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"
Llama Archive
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44
Loss & LAtency MAtrix
Vnet
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43
Prostate MR Image Segmentation 2012
Semantic Segmentation Of Remote Sensing Images
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39
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
Reloss
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31
Official implementation for paper "Relational Surrogate Loss Learning", ICLR 2022
Brain Tumor Segmentation Using Topological Loss
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23
A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss
Pyincore
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21
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.
Hierarchical Categories Loss Tensorflow
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17
A loss function for categories with a hierarchical structure.
Starttf
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15
A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.
Seqmetrics
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11
Various errors for tabular/structured/time-series data
Tf_seq2seq_losses
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10
TensorFlow implementations of losses for sequence to sequence machine learning models
Dacl
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9
Deep Attentive Center Loss
Bootstrappingloss
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7
Bootstrapping loss function implementation in pytorch
Multi Sample_dropout_pytorch
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7
a simple pytorch implement of Multi-Sample Dropout
Hierarchicallosses
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6
Train Faster and Boost Performance with Class Hierarchies. Build Robust Representations Less Prone to Serious Classification Errors. - PyTorch code for paper: "A Hierarchical Loss for Semantic Segmentation" VISAPP/VISIGRAPP 2020
Slfgenerator
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5
Story-loss function generator
Pt Femb Face Embeddings
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5
Implementation of related angular-margin-based classification loss functions for training (face) embedding models: SphereFace, CosFace, ArcFace and MagFace.
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