Comments (35)
认领:基于fine-tuning的图像分类
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认领:信用卡反欺诈-样本不均衡下的分类任务
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认领:通过AutoEncoder实现时序数据异常检测
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认领:通过OCR实现验证码识别
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认领:通过transformer实现文本分类
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认领:基于fine-tuning的图像分类
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认领:通过DCGAN实现人脸图像生成
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认领:基于Bert的语义相似度计算
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认领:通过Sub-Pixel实现图像超分辨率
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认领:基于seq2seq的文本加法
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认领:关键点检测方法及应用
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认领:使用预训练的词向量
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认领:通过CycleGAN实现图像风格迁移
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认领:通过OCR实现验证码识别
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认领:通过OCR实现验证码识别
这个gt貌似领了
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没看到在这认领,我已经做完通过AutoEncoder实现时序数据异常检测合RP了,有点尴尬
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没事,你先去PR吧,我再做个其他的~
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挺抱歉的,我之前搞错了,我新建了issue来领任务,不过你的也可以上传,飞桨应该不介意多出一份教程
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认领:DQN-CartPole
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作者格式要求
为了统一整体的写作风格,需要大家规范一下作者格式,写法规则如下:
在notebook的第一个cell中,填写文章标题,作者名字(链接至GitHub主页)、上传日期等三部分信息;其它的描述都在之后的cell中
示例如下:
对于AIStudio项目的链接,飞桨官方会在后续统一添加,请大家理解
非常感谢大家一起来贡献!共建飞桨繁荣社区!
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收到
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认领:使用Retinanet实现目标检测
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认领:卷积层可视化
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认领:强化学习-Actor Critic Method
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认领:图片描述
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认领:使用PointNet实现点云分类
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认领:基于BERT实现智能写诗
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认领:时序数据预测,天气预报
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认领:使用PointNet实现点云分类
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自选:热图可视化 Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization
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认领:使用协同过滤实现电影推荐
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认领:使用DanceNet自动生成舞蹈
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自选: 用时间卷积网络实现黄金价格预测
作者:郭佳慧
项目地址: https://aistudio.baidu.com/aistudio/projectdetail/1525691/i?shared=1
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Related Issues (20)
- 06.情感分析示例中,如何得到句子转化成的向量 HOT 1
- book的docker拉下来,一直显示http://127.0.0.1:8888/files/.tools/theme/marked.js无法访问 HOT 2
- docker run -d -p 8888:8888 hub.baidubce.com/paddlepaddle/book后,html显示报错,所有模块都一样 HOT 3
- 07.label_semantic_roles 如何保存 crf_decode, infer 如何 decode? HOT 1
- 基于栈式双向LSTM的情感识别 GPU训练报错 HOT 2
- Network structure not consistent with proposed DCGAN HOT 2
- 06情感分析,案例data type报错 HOT 1
- 06情感分析代码出现维度错误 HOT 6
- fit_a_line的示例中,数据的归一化处理时,应该只使用train data。 HOT 1
- 语义序列标注修改输入出现的问题 HOT 2
- 图像分类的代码运行到训练部分报错 HOT 3
- 房价预测代码跑错误 HOT 5
- 机器翻译infer报错 HOT 6
- 01.fit_a_line预测结果差异较大
- 无法访问隐藏文件
- 通过DCGAN实现人脸图像生成
- 认领 题目:通过AutoEncoder实现时序数据异常检测
- test bot HOT 3
- typo in image HOT 1
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