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机会留给有准备的人——11912备考经验贴
Scheme
2024
Interview
3-专业面问题模拟
1-Theory
0-Math
Mathematical-Analysis
Lipschitz continuity
Matrix-Analysis
1-矩阵代数基础
矩阵分析笔记
Numerical-Analysis
1-数值计算导论
数值分析笔记
1-ProgramLanguage
Cpp
2-STL
2-algorithm
8-sequence-operate
C++学习之路
Python
1-Official-tutorial-312
0-The-Python-Tutorial-index
1-appetite
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4-Control-Flow
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unittest — Unit testing framework — Python 3.12.1 documentation
Style guides for Google-originated open-source projects
Python学习之路
2-DataStruct
dsa-cpp-deng
A-Introduction
10-Introduction
11-Intro-Exercise
12-Instances-of-recursion
13-Dynamic-Programming
14-Lowerbound-analyze
15-Little-o-notation
16-Stirling-Approximation
17-Recursion-Wikipedia
18-Fisher-Yates-shuffle
B-Vector+List
20-Vector
21-Vector-Exercise
22-In-place-mergeSort
23-N-way-merge
24-Bitmap
30-List
31-List-Exercise
C-Stack+Queue
40-Stack_Queue
41-Stack-queue-Exercise
43-Probing-backtracking
44-Histogram-MaxRectangle-impl
Applications of Catalan Numbers - GeeksforGeeks
D-Tree+BST+BBST
50-Tree
51-Tree-Exercise
60-Binary_Search_Tree
61-Balanced-BST
62-BST-Exercise
63-B-asterisk-Tree
64-Height-BBST-vs-Weight-BBST
65-Lowest-Common-Ancestor
66-Fib-sequence-and-worst-AVL-trees
68-B+Tree
69-Finger-Search
Insertion in a Red-Black Tree
E-Hash-String-Sort
70-Hash
71-Hash-Exercise
A0-String
A1-String-Exercise
A2-Trie-Tree
B0-Sort
B1-Sort-Exercise
F-Graph-PQ
80-Graph
81-Graph-Application
82-Graph-Exercise
83-Adjacency-multilist
84-并查集
85-MST-OIwiki
86-SPT-OIwiki
87-Strongly-Connected-Components
90-Priority_Queue
91-PQ-Exercise
92-Min-max-heap
93-Fibonacci-heap
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G-Practice
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3-Algorithm
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10-algo-basis
20-data-struct
30-graph
31-SPFA-detail
40-math-knowledge
50-dynamic-programming
60-greedy
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AcWing基础篇
4-System
RISC-V
10-Why-need-RISC-V
20-RV32I
30-RISC-V-assembly
40-Multiply-Divide-instruction
50-Float-Double-instruction
60-Atomic-instruction
70-Compressed-instruction
80-Vector
90-RV64
A0-Privileged-architecture
RISC-V-Briefing-Manual
THU-Liu
10-CO-Intro
11-ALU
12-Data-Expression-and-EDC
13-Data-check-code
20-ISA&CPU-Introduction
21-RISC-V
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31-Cache
33-Virtual-Memory
34-Disk
40-IO
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42-Device
50-练习题
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5-Operating-System
Internal&design-principle
00-计算机系统概述
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11-宏内核结构的OS举例
20-进程与线程
21-进程、线程、纤程与协程
30-并发
31-Dekker-algo-impl
32-Peterson-algo-impl
33-Producer-consume-impl
34-Reader-writer-impl
35-Banker-algo-impl
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37-Dining-philosopher-impl
38-竞争条件与理发师问题
39-Unix_Linux并发机制
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41-Buddy-system-impl
42-加载和链接
43-PFF-VSWS-impl
50-CPU调度
60-IO管理与磁盘
61-SPOOLing
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Internal&Design-Principle-Notes
rCore-tutorial
0-OS-overview
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50-rCore-env-config
51-Arch-env-config
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00-AppEE-Overview
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20-Remove-std-dependency
30-Qemu-boot-and-compile-process
40-First-instruction-of-kernel
50-Support-func-call-for-kernel
60-Print-and-shutdown-based-on-RustSBI
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70-Beyond-physical-memory
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60-VirtIO_GPU-drivers
Practice
0-操作系统概述
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4-地址空间
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92-Linux-softirq
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Top-to-down
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90-Physics-layer
Top2down-Summary
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NTU-LinHsuanTian
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10-The-Learning-Problem
20-Learning-to-Answer-Y-N
30-Types-of-Learning
40-Feasibility-of-Learning
50-Training-versus-Testing
60-Theory-of-Generalization
70-The-VC-Dimension
80-Noise-and-Error
90-Linear-Regression
A0-Logistic-Regression
B0-Linear-Models-for-Classification
C0-Nonlinear-Transformation
D0-Hazard-of-Overfitting
E0-Regularization
F0-Validation
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ML-techniques
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20-Dual-Support-Vector-Machine
30-Kernel-Support-Vector-Machine
40-Soft-Margin-Support-Vector-Machine
50-Kernel-Logistic-Regression
60-Support-Vector-Regression
70-Blending-and-Bagging
80-Adaptive-Boosting
ML-Techniques-Index
8-Deep-Learning
Dive-into-DL-pytorch
00-Prerequisites
00-prerequistes-index
10-preface
20-environment-config
30-notation
40-introduction
10-Preliminaries
00-basic-knowledge-index
10-ndarray
20-pandas
30-linear-algebra
40-calculus
50-autograd
60-probability
70-lookup-api
20-Linear-Neural-Network
10-linear-regression
20-linear-regression-from-scratch
30-linear-regression-concise-implementation
40-softmax-regression
50-image-classification-dataset
60-softmax-regression-from-scratch
70-softmax-regression-concise-implementation
30-Multilayer-Perceptrons
00-MLP-index
10-mlp
20-mlp-from-scratch
30-mlp-concise-implementation
40-underfit-overfit
50-weight-decay
60-dropout
70-backprop
80-numerical-stability-and-init
90-environment
A0-kaggle-house-price
40-DL-Computation
00-DL-Computation-index
10-model-construction
20-parameters
30-lazy-initialization
40-custom-layer
50-read-write
60-use-gpu
50-Convolutional-Neural-Networks
00-CNN-index
10-why-conv
11-what-is-channel
20-conv-layer
30-padding-and-strides
40-channels
50-pooling
60-lenet
60-Modern-CNN
00-Modern-CNN-index
10-alexnet
20-vgg
30-nin
40-googlenet
50-batch-norm
60-resnet
70-densenet
70-Recurrent-Neural-Network
00-RNN-index
10-sequence
20-text-preprocessing
30-language-models-and-dataset
40-rnn
50-rnn-from-scratch
60-rnn-concise-implementation
70-bptt
80-Modern-RNN
00-modern-RNN-index
10-gru
20-lstm
30-deep-rnn
40-bi-rnn
50-machine-translation-and-dataset
60-encoder-decoder
70-seq2seq
80-beam-search
90-Attention-Mechanisms
30-attention-scoring-functions
Dive-Into-DL
9-Software-Construction
10-Intro
20-High-Quality-Coding
30-Unit-Test
40-Software-Development-Process
50-Team-Management
60-Agile-Development
70-Requirements-Elicitation
Software-Construction-notes
B-GPU-Programming
CUDA
NVIDIA-Guide
CUDA-C++-Programming-Guide-notes
Learning CUDA Programming
3-Tools
Dev-Tools
Git
Git小结
Obsidian
如何利用 Obsidian+Quartz+GitHub Pages 构建个人知识管理库及博客分享站
4-Scholar
0-Report Slides
Archive of Report Slides
1-Data-Center
Architecture
How ARP works？
The features, hardware, and architectures of DCN：A survey
What is Clos Network？
Federated Learning
Esync: Accelerating Intra-Domain Federated Learning in Heterogeneous Data Centers
LLMTraining
DeepSeek
OpenSourceWeek
Day2-DeepEP
Day3-DeepGEMM
Day4-DualPipe-EPLB-Overlap
DeepSeek_V3_Report：Annotation
Understand MLA
Alibaba HPN：notes
Charactrization of LLM Development in the Datacenter.
Path Control
Hashing Design in Modern Networks: Challenges and Mitigation Techniques.
Routing Algorithm
Jupiter_Evolving：Conclusion
Jupiter_Rising：Annotation
Primus-a_centralized_routing：Annotation
RDMA-over-Ethernet-for-Distributed-AI-Training：Conclusion
Resiliency at Scale: Managing Google’s TPUv4 Machine Learning Supercomputer
Paper Reading Records
Paper-Reading-Methods
5-OS-tips
Linux
Arch
Using-notes
00-Pacman常用命令
03-降级软件包 downgrade
11-输入法
12-Shell
22-磁盘空间信息
23-查看Linux的硬件配置
24-更新系统须知
30-vscode
36-wayland使用
41-KDE-Wayland-HDMI外接显示器识别失败
50-如何切换 JDK 版本？
ArchLinux使用笔记
Windows
Windows下奇奇怪怪的需求与解决方案
8-ComputerCulture
What-is-tty-in-Linux？
9-Marxist
10-Marx&Engels
共产党宣言
30-Mao
新世纪重读毛泽东，借经典深悟社会现象
论持久战
40-Deng
中国共产党中央委员会关于建国以来党的若干历史问题的决议
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Archive of Report Slides
2024年9月19日
1分钟阅读
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tsinghua
大组会
Alibaba HPN
小组会
Swift
HPCC
课程 Presentation
Federated Learning
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大组会
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Swift
HPCC
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Federated Learning
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