Software NGT big3store AnnexML yskip japanese-large-lm japanese-large-lm-instruction-sft LINE DistilBERT Japanese Meta AI Video Similarity Challenge - 3rd Place Solution Data VFD Dataset (Japanese) Yahoo! Chiebukuro Data Yahoo! Search Query Data YJ Captions Dataset YJ Chat Detection Dataset Japanese Visual Genome VQA Dataset Visual Scenes with Utterances Dataset Experimental Dataset for Post-Ensem

import numpy as np import matplotlib.pyplot as plt # 押した時 def Press(event): global x1,y1,DragFlag # 値がNoneなら終了 if (event.xdata is None) or (event.ydata is None): return # 丸める cx = int(round(event.xdata)) cy = int(round(event.ydata)) x1 = cx y1 = cy # フラグをたてる DragFlag = True # ドラッグした時 def Drag(event): global x1,y1,x2,y2,DragFlag # ドラッグしていなければ終了 if DragFlag == False: return # 値がNoneなら終了 if (event.xd

[DL輪読会]The Cramer Distance as a Solution to Biased Wasserstein Gradients This document discusses several mathematical concepts related to probability and statistics: - It defines the Kullback-Leibler divergence KL(P||Q) as a measure of how one probability distribution P differs from a second distribution Q. - It presents an equation for Qθ(y|x) as a Gaussian distribution with mean fθ(x) and varian