Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
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Updated
Jul 18, 2022 - Python
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
gesture recognition toolkit
A simple yet effective loss function for face verification.
The Noise Contrastive Estimation for softmax output written in Pytorch
pytextclassifier is a toolkit for text classification. 文本分类,LR,Xgboost,TextCNN,FastText,TextRNN,BERT等分类模型实现,开箱即用。
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
Pytorch-Named-Entity-Recognition-with-transformers
The Pytorch Implementation of L-Softmax
Machine learning algorithms in Dart programming language
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
My workshop on machine learning using python language to implement different algorithms
Reinforcement learning (RL) implementation of imperfect information game Mahjong using markov decision processes to predict future game states
Cross Modal Retrieval with Querybank Normalisation
Tensorflow NCE loss in Keras
Latent Dirichlet Allocation coupled with Bayesian Time Series analyses
This library provides a set of basic functions for different type of deep learning (and other) algorithms in C.This deep learning library will be constantly updated
Proximal Mean-field for Neural Network Quantization
(WACV 2020) Tensorflow implementation of Boosting Standard Classification Architectures Through a Ranking Regularizer
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