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Plot curly brace with matplotlib
Approximating Wasserstein distances with PyTorch
Toolbox to integrate optimal transport loss functions using automatic differentiation and Sinkhorn's algorithm
A curated list of awesome self-supervised methods
The official repository for ACL 2023 paper "A Novel Table-to-Graph Generation Approach for Document-Level Joint Entity and Relation Extraction"
Implementation of Document-level Relation Extraction with Knowledge Distillation and Adaptive Focal Loss
Code for "Exploring Self-distillation based Relational Reasoning Training for Document-level Relation Extraction" (AAAI 2023)
Source code for IJCAI 2020 paper "A Relation-Specific Attention Network for Joint Entity and Relation Extraction"
发布23年计算机保研夏令营和预推免通知,往年的保研经验帖;需要带保研或计算机保研资料联系qq:1585601434
OCS 网课助手,刷课脚本,网课脚本,帮助大学生解决网课难题,支持【超星学习通】【知道智慧树】【职教云】【智慧职教】【中国大学MOOC】等网课 , 可以在 脚本猫 以及 油猴 等开源脚本管理器下运行。
基于HMM与MFCC特征进行数字0-9的语音识别,HMM,GMMHMM,MFCC,语音识别,sklearn,Digital Voice Recognition。
coursera中Andrew Ng的meachine learning的所有编程测验的原文件