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dl_novice icon dl_novice

驭风计划，深度学习: 1. Softmax实现手写数字识别(MNIST)； 2. 多层感知机实现手写数字识别(MNIST)； 3. PyTorch实战: CIFAR图像分类(CIFAR10)； 4. 脑部MRI图像分割(Kaggle-Brain MRI)； 5. 滴滴出行-交通场景目标检测(MMDetection,MMCV,COCO)； 6. 图像自然语言描述生成(COCO2014)； 7. SRGAN图像超分辨(DIV2K)。

ml_novice icon ml_novice

驭风计划，机器学习: 1. 基于决策树的英雄联盟游戏胜负预测(kaggle-League of Legends Diamond Ranked Games)； 2. 基于回归分析的大学综合得分预测(Kaggle-World University Rankings)； 3. 基于贝叶斯的垃圾邮件识别(Trec06-TREC 2006 Spam Track Public Corpora)； 4. 基于K-近邻的车牌号识别； 5. AAAI 会议论文聚类分析(UCI-AAAI 2014 Accepted Papers)； 6. 基于集成学习的 Amazon 用户评论质量预测； 7. 某闯关类手游用户流失预测。

nlp_novice icon nlp_novice

驭风计划，自然语言处理: 1.Word2Vec TranE的实现(Text8 Wikidata WordSim353)； 2.seq2seq模型--机器翻译(NIST)； 3.文本情感分析(Rotten Tomato)； 4.预训练语言模型实现与应用(DocRED)； 5.司法阅读理解(CAIL 2020)； 6.面向疫情相关新闻的社会计算应用(CSDC-News)； 7.基于 ChatGLM-6B 的本地论文知识库自动问答模型

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