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79 public repositories
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Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Updated
Jul 26, 2021
Python
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(2020) paper
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Jul 26, 2021
Python
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Updated
Dec 24, 2018
Jupyter Notebook
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
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
YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!
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Dec 19, 2020
Python
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
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Aug 4, 2020
Python
Prostate MR Image Segmentation 2012
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Nov 30, 2020
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
Loss modelling framework.
Updated
Jul 27, 2021
Python
Implementation of "Anchor Loss: Modulating loss scale based on prediction difficulty"
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May 3, 2021
Python
Prostate MR Image Segmentation 2012
Updated
Jan 16, 2020
Python
Library for testing and measuring network loss and latency between distributed endpoints.
Updated
Apr 12, 2019
Python
Weighted Focal Loss for multilabel classification
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Nov 6, 2018
Python
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
Bootstrapping loss function implementation in pytorch
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Dec 3, 2020
Python
An example crypto trading bot that does a trailing stop loss on Binance and posts to Slack
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May 10, 2021
JavaScript
Software to visualize detectron training stats
Updated
Nov 20, 2018
Java
IOU as loss for object detection tasks and IOU as metric for object detection tasks
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Mar 30, 2018
Python
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
Updated
Jun 3, 2021
Jupyter Notebook
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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Jun 28, 2021
Python
A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.
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Aug 6, 2019
Python
Code for eccv2020 paper: Fixing Localization Errors to Improve Image Classification
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Aug 25, 2020
Python
GraLLAMA panel for LLAMA data
Updated
May 9, 2021
JavaScript
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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?