Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper
[ICCV 2021] Focal Frequency Loss for Image Reconstruction and Synthesis
#人脸识别#face recognition training project(pytorch)
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+
Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
Reproducing experimental results of LL4AL [Yoo et al. 2019 CVPR]
Prostate MR Image Segmentation 2012
YOLOv4 Pytorch implementation with all freebies and specials and 15+ more exclusive improvements. Easy to use!
Official implementation of the paper: "ZClip: Adaptive Spike Mitigation for LLM Pre-Training".
Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
Code for the paper "Facial Emotion Recognition: State of the Art Performance on FER2013"
Focal Loss of multi-classification in tensorflow
Deep Attentive Center Loss
Prostate MR Image Segmentation 2012
a simple pytorch implement of Multi-Sample Dropout
Weighted Focal Loss for multilabel classification