├── README.md ├── 大数据系统开发 ├── README.md └── inverted-index │ ├── .gitignore │ ├── pom.xml │ └── src │ ├── META-INF │ └── MANIFEST.MF │ └── main │ ├── java │ └── com │ │ └── wyt │ │ └── InvertedIndex.java │ └── resources │ └── META-INF │ └── MANIFEST.MF ├── 操作系统 ├── README.md ├── 实验1 │ └── 编译Linux内核——实验报告.docx ├── 实验2 │ ├── BufferPoolManager.h │ ├── consumer.cpp │ ├── consumer.exe │ ├── main.cpp │ ├── main.exe │ ├── producer.cpp │ ├── producer.exe │ └── 生产者与消费者——实验报告.docx ├── 实验3 │ ├── Main.cpp │ ├── Main.exe │ ├── MemoryMonitor.h │ └── 内存监视——实验报告.docx ├── 实验4 │ ├── mycopy.c │ └── 文件复制——实验报告.docx └── 实验运行结果要求.pdf ├── 数字逻辑 ├── README.md ├── 实验2 │ ├── experiment2 │ │ ├── experiment2.srcs │ │ │ ├── sim_1 │ │ │ │ └── new │ │ │ │ │ └── testbench.v │ │ │ └── sources_1 │ │ │ │ └── new │ │ │ │ └── sqrt.v │ │ └── experiment2.xpr │ ├── 实验二 任务书.pdf │ └── 实验报告 │ │ ├── 实验报告.docx │ │ ├── 绘图1.eddx │ │ └── 绘图2.eddx ├── 实验3 │ ├── experiment3 │ │ ├── experiment3.srcs │ │ │ ├── sim_1 │ │ │ │ └── new │ │ │ │ │ └── testbench.v │ │ │ └── sources_1 │ │ │ │ └── new │ │ │ │ └── coin.v │ │ ├── experiment3.xpr │ │ └── testbench_behav.wcfg │ ├── 实验三 任务书.pdf │ └── 实验报告 │ │ ├── 实验报告.docx │ │ ├── 绘图1.eddx │ │ └── 绘图2.eddx └── 实验4 │ ├── work_4_whole │ ├── min_area_pfile.tmp │ ├── timer_test_behav.wcfg │ ├── work_4_whole.gen │ │ └── sources_1 │ │ │ └── ip │ │ │ └── ila_0 │ │ │ └── ila_0.xml │ ├── work_4_whole.srcs │ │ ├── constrs_1 │ │ │ └── new │ │ │ │ └── timer_constraints.xdc │ │ ├── sim_1 │ │ │ └── new │ │ │ │ ├── counter_test.v │ │ │ │ ├── debounding_test.v │ │ │ │ ├── display_test.v │ │ │ │ └── timer_test.v │ │ ├── sources_1 │ │ │ ├── ip │ │ │ │ └── ila_0 │ │ │ │ │ └── ila_0.xci │ │ │ └── new │ │ │ │ ├── counter.v │ │ │ │ ├── debounding.v │ │ │ │ ├── display.v │ │ │ │ └── timer.v │ │ └── utils_1 │ │ │ └── imports │ │ │ └── synth_1 │ │ │ └── timer.dcp │ └── work_4_whole.xpr │ ├── 实验四 任务书.pdf │ └── 实验报告.docx ├── 数据库原理与设计 ├── 3.sql ├── 4.1.sql ├── 4.6.sql ├── 7.sql ├── README.md ├── embededSQL.js ├── insert.js ├── package-lock.json ├── package.json ├── truncateAndDelete.js └── 数据库上机实验报告.docx ├── 智能计算工程实践 ├── README.md ├── 作业1 │ ├── NN+GA.md │ ├── code.ipynb │ ├── image-2.png │ ├── image-4.png │ ├── image.png │ └── 第一次实践_神经网络+遗传算法.pptx ├── 作业2 │ ├── image-1.png │ ├── image-10.png │ ├── image-11.png │ ├── image-12.png │ ├── image-13.png │ ├── image-14.png │ ├── image-15.png │ ├── image-16.png │ ├── image-17.png │ ├── image-18.png │ ├── image-19.png │ ├── image-2.png │ ├── image-20.png │ ├── image-21.png │ ├── image-22.png │ ├── image-23.png │ ├── image-3.png │ ├── image-4.png │ ├── image-5.png │ ├── image-6.png │ ├── image-7.png │ ├── image-8.png │ ├── image-9.png │ ├── image.png │ ├── linear.ipynb │ ├── linear_lib.ipynb │ ├── mlp.ipynb │ ├── 函数拟合.md │ └── 第二次实践_非线性函数拟合.pptx ├── 作业3 │ ├── codes │ │ ├── code │ │ │ ├── Readme.md │ │ │ ├── datasets.py │ │ │ ├── eval_trans.py │ │ │ ├── models_trans.py │ │ │ ├── new_datasets.py │ │ │ ├── nohup.out │ │ │ ├── test_trans.py │ │ │ ├── train_trans.py │ │ │ └── utils.py │ │ ├── create_input_files.py │ │ ├── image_generation │ │ │ ├── change_caption.json │ │ │ ├── collect_scenes.py │ │ │ ├── gen_multi_imgs_captions.py │ │ │ ├── generate_captions.py │ │ │ ├── generate_images.sh │ │ │ ├── generate_test_images.py │ │ │ ├── new_render_12_with5changes.py │ │ │ ├── nohup.out │ │ │ ├── render_12_with5changes.py │ │ │ └── utils.py │ │ ├── model_input │ │ │ ├── TRAIN_CAPLENS_3dcc_5_cap_per_img_0_min_word_freq.json │ │ │ ├── TRAIN_CAPTIONS_3dcc_5_cap_per_img_0_min_word_freq.json │ │ │ ├── TRAIN_SEQS_3dcc_5_cap_per_img_0_min_word_freq.json │ │ │ └── WORDMAP_3dcc_5_cap_per_img_0_min_word_freq.json │ │ └── output │ │ │ ├── WORDMAP_3dcc_5_cap_per_img_0_min_word_freq.json │ │ │ └── change_caption.json │ ├── image-2.png │ ├── image.png │ ├── 图像变化描述.md │ └── 第三次实践_图像变化描述.pptx └── 作业4 │ ├── LLMs微调 │ ├── LLMs微调.md │ ├── fine_tuning.ipynb │ ├── image-1.png │ ├── image-2.png │ ├── image-3.png │ ├── image.png │ ├── output.txt │ └── 第四次实践候选1_LLMs微调.pptx │ └── 扩散模型 │ ├── diffusion.gif │ ├── dm_mnist.ipynb │ ├── dm_remove_noise.ipynb │ ├── image-1.png │ ├── image-2.png │ ├── image-3.png │ ├── image-4.png │ ├── image-5.png │ ├── image-6.png │ ├── image-7.png │ ├── image-8.png │ ├── image-9.png │ ├── image.png │ ├── init.jpg │ ├── mask.jpg │ ├── origin.png │ ├── output.jpg │ ├── 扩散模型.md │ └── 第四次实践候选2_扩散模型.pptx ├── 机器学习初步 ├── README.md ├── 代码补全 │ ├── admit.csv │ ├── diabetes_test_feature.csv │ ├── diabetes_test_label.csv │ ├── diabetes_train_data.csv │ ├── homework.ipynb │ ├── observations_test_data.csv │ ├── observations_train_data.csv │ └── poly_reg.csv └── 决策树 │ ├── Machine_Learning_Homework.pdf │ ├── decisionTree.py │ ├── handout │ ├── education_test.tsv │ ├── education_train.tsv │ ├── example_output │ │ ├── small_3_metrics.txt │ │ ├── small_3_test.labels │ │ └── small_3_train.labels │ ├── mushroom_test.tsv │ ├── mushroom_train.tsv │ ├── politicians_test.tsv │ ├── politicians_train.tsv │ ├── small_test.tsv │ └── small_train.tsv │ ├── image-1.png │ ├── image-2.png │ ├── image-3.png │ ├── image-4.png │ ├── image-5.png │ ├── image.png │ ├── inspection.py │ └── 报告.md ├── 深度学习基础 ├── README.md ├── 大作业 │ ├── 大作业-华为云训练使用.ipynb │ ├── 大作业-本地预测使用.ipynb │ └── 完整代码在本地 训练输出在华为云.txt ├── 第一次小作业 │ ├── Work01_kaggle_house_prise.ipynb │ ├── score.png │ ├── submission.csv │ └── 预测房价.ipynb ├── 第三次小作业 │ └── work3.ipynb ├── 第二次小作业 │ ├── ResNet.docx │ ├── VGG.docx │ ├── 作业2-ResNet.ipynb │ └── 作业2-VGG.ipynb ├── 第五次小作业 │ └── Transformer.docx ├── 第四次小作业 │ └── GRU.docx └── 附加作业 │ ├── 2.ipynb │ ├── 3.ipynb │ ├── 4.ipynb │ ├── DL-Ex01-监督学习实验手册.docx │ ├── DL-Ex02-前馈网络实验手册.docx │ ├── DL-Ex03-卷积网络实验手册.docx │ └── DL-Ex04-循环递归网络实验手册.docx ├── 离散数学 ├── README.md ├── 编程1：求命题公式的主范式.cpp ├── 编程2：消解算法.cpp ├── 编程3：求关系的传递闭包.cpp ├── 编程4：求偏序集中的极大元与极小元.cpp ├── 编程5：求函数的逆元.cpp ├── 编程6：求元素的阶.cpp ├── 编程7：二部图的判定.cpp └── 编程8：有向图连通性的判定.cpp ├── 计算机病毒防治 ├── README.md ├── 实验1.docx ├── 实验2.docx ├── 实验3.docx ├── 实验4.docx ├── 实验5.docx ├── 实验6.docx ├── 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