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Algorithm
Algorithm 2020
1193: ๋ถ์์ฐพ๊ธฐ
1316: ๊ทธ๋ฃน ๋จ์ด ์ฒด์ปค
3053: ํ์ ๊ธฐํํ
3273: ๋ ์์ ํฉ
7568: ๋ฉ์น
17298: ์คํฐ์
Algorithm 2021
1085: ์ง์ฌ๊ฐํ์์ ํ์ถ
1475: ๋ฐฉ ๋ฒํธ
Algorithm 2022
1002: ํฐ๋
1011: Fly me to the Alpha Centauri
1074: Z
1158: ์์ธํธ์ค ๋ฌธ์
1406: ์๋ํฐ
1629: ๊ณฑ์
1697: ์จ๋ฐ๊ผญ์ง
1712: ์์ต๋ถ๊ธฐ์
1759: ์ํธ ๋ง๋ค๊ธฐ
1780: ์ข ์ด์ ๊ฐ์
1874: ์คํ ์์ด
1919: ์ ๋๊ทธ๋จ ๋ง๋ค๊ธฐ
1926: ๊ทธ๋ฆผ
1929: ์์ ๊ตฌํ๊ธฐ(์๋ผํ ์คํ ๋ค์ค์ ์ฒด)
1978: ์์ ์ฐพ๊ธฐ
1992: ์ฟผ๋ํธ๋ฆฌ
2164: ์นด๋2
2178: ๋ฏธ๋ก
2231: ๋ถํดํฉ
2292: ๋ฒ์ง
2447: ๋ณ ์ฐ๊ธฐ - 10
2468: ์์ ์ง๋
2493: ํ
2504: ๊ดํธ์ ๊ฐ
2577: ์ซ์์ ๊ฐ์
2581: ์์
2583: ์์ญ ๊ตฌํ๊ธฐ
2630: ์์ข ์ด ๋ง๋ค๊ธฐ
2667: ๋จ์ง๋ฒํธ๋ถ์ด๊ธฐ
2775: ๋ถ๋ ํ์ฅ์ด ๋ ํ ์ผ
2798: ๋ธ๋์ญ
2839: ์คํ ๋ฐฐ๋ฌ
2869: ๋ฌํฝ์ด๋ ์ฌ๋ผ๊ฐ๊ณ ์ถ๋ค
3009: ๋ค ๋ฒ์งธ ์
3986: ์ข์๋จ์ด
4153: ์ง๊ฐ์ผ๊ฐํ
4179: ๋ถ!
4948: ๋ฒ ๋ฅดํธ๋ ๊ณต์ค
4949: ๊ท ํ์กํ์ธ์
5014: ์คํํธ๋งํฌ
5397: ํค๋ก๊ฑฐ
5427: ๋ถ
6198: ์ฅ์ ์ ์ ๊พธ๋ฏธ๊ธฐ
6593: ์๋ฒ๋น๋ฉ
6603: ๋ก๋
7576: ํ ๋งํ
9012: ๊ดํธ
9020: ๊ณจ๋๋ฐํ์ ์ถ์ธก
9663: N-Queen
10026: ์ ๋ก์์ฝ
10250 ACM ํธํ
10757: ํฐ ์ A+B
10773: ์ ๋ก
10799: ์ ๋ง๋๊ธฐ
10807: ๊ฐ์ ์ธ๊ธฐ
10828: ์คํ
10845: ํ
10870: ํผ๋ณด๋์น ์ 5
10872: ํฉํ ๋ฆฌ์ผ
11328: Strfry
11653: ์์ธ์๋ถํด
11729: ํ๋ ธ์ด ํ ์ด๋ ์์
13300: ๋ฐฉ ๋ฐฐ์
15649: N๊ณผ M (1)
15650: N๊ณผ M (2)
15651: N๊ณผ M (3)
15652: N๊ณผ M (4)
15654: N๊ณผ M (5)
15655: N๊ณผ M (6)
15656: N๊ณผ M (7)
15657: N๊ณผ M (8)
15663: N๊ณผ M (9)
15664: N๊ณผ M (10)
15665: N๊ณผ M (11)
15666: N๊ณผ M (12)
18258: ํ2
Algorithm 2023
1011: Fly me to the Alpha Centauri
1012: ์ ๊ธฐ๋๋ฐฐ์ถ
1039: ๊ตํ
1062: ๊ฐ๋ฅด์นจ
1103: ๊ฒ์
1260: DFS์ BFS
1339: ๋จ์ด ์ํ
1427: ์ํธ์ธ์ฌ์ด๋
1439: ๋ค์ง๊ธฐ
1520: ๋ด๋ฆฌ๋ง๊ธธ
1541: ์์ด๋ฒ๋ฆฐ ๊ดํธ
1654: ๋์ ์๋ฅด๊ธฐ
1713: ํ๋ณด ์ถ์ฒํ๊ธฐ
1783: ๋ณ๋ ๋์ดํธ
1920: ์ ์ฐพ๊ธฐ
1932: ์ ์ ์ผ๊ฐํ
1946: ์ ์ ์ฌ์
2108: ํต๊ณํ
2110: ๊ณต์ ๊ธฐ ์ค์น
2133: ํ์ผ ์ฑ์ฐ๊ธฐ
2293: ๋์ 1
2503: ์ซ์ ์ผ๊ตฌ
2839: ์คํ ๋ฐฐ๋ฌ
3055: ํ์ถ
3425: ๊ณ ์คํ
4796: ์บ ํ
5430: AC
5585: ๊ฑฐ์ค๋ฆ๋
7562: ๋์ดํธ์ ์ด๋
7569: ํ ๋งํ (3์ฐจ์)
8901: ํํ๋ฌผ์ง
8905: ๋ฆฌํธ
8911: ๊ฑฐ๋ถ์ด
9461: ํ๋๋ฐ ์์ด
9465: ์คํฐ์ปค
9466: ํ ํ๋ก์ ํธ
11053: ๊ฐ์ฅ ๊ธด ์ฆ๊ฐํ๋ ๋ถ๋ถ ์์ด
11650/11651: ์ขํ ์ ๋ ฌํ๊ธฐ
13549: ์จ๋ฐ๊ผญ์ง 3
13565: ์นจํฌ
14501: ํด์ฌ
15486: ํด์ฌ 2
16953: A->B
25943: ์ํ์ ์ธ
25945: ์ปจํ ์ด๋ ์ฌ๋ฐฐ
25947: ์ ๋ฌผํ ์ธ
26111: Parentheses Tree
Algorithm 2024
[Algorithm] 1005: ACM_Craft
[Algorithm] 1043: ๊ฑฐ์ง๋ง
[Algorithm] 1167: ํธ๋ฆฌ์ ์ง๋ฆ
[Algorithm] 1197: MST
[Algorithm] 1202: ๋ณด์ ๋๋
[Algorithm] 1644: ์์์ ์ฐ์ํฉ
[Algorithm] 1647: ๋์ ๋ถํ ๊ณํ
[Algorithm] 1766: ๋ฌธ์ ์ง
[Algorithm] 1806: subtotal
[Algorithm] 1967: TreeDiameter
[Algorithm] 2252: ์ค ์ธ์ฐ๊ธฐ
[Algorithm] 2263: ํธ๋ฆฌ์ ์ํ
[Algorithm] 2448: ๋ณ์ฐ๊ธฐ 11
[Algorithm] 2467: ์ฉ์ก
[Algorithm] 7579: ์ฑ
[Algorithm] 7662: PriorityQueue
[Algorithm] 9019: DSLR
[Algorithm] 9251: lcs
[Algorithm] 9252: LCS 2
[Algorithm] 10942: ํ ๋ฆฐ๋๋กฌ?
[Algorithm] 11049: ํ๋ ฌ ๊ณฑ์ ์์
[Algorithm] 11066: ํ์ผ ํฉ์น๊ธฐ
[Algorithm] 12015: ๊ฐ์ฅ ๊ธด ์ฆ๊ฐํ๋ ๋ถ๋ถ ์์ด 2
[Algorithm] 14500: ํ ํธ๋ก๋ฏธ๋ ธ
[Algorithm] 16928: ๋ฑ๊ณผ ์ฌ๋ค๋ฆฌ ๊ฒ์
[Algorithm] 20040: cycle_game
Computer Science
Computer Architecture
Programming
Code Evaluation Method 1
Deep Learning
[Paper] AlexNet: ImageNet Classification with Deep Convolutional Neural Networks (2012) Review
[Paper] Deformable DETR: Deformable Transformers for End-to-End Object Detection
[Paper] DETR: End-to-End Object Detection with Transformers
[Paper] Fast R-CNN
[Paper] Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
[Paper] LeNet-5: Gradient-Based Learning Applied to Document Recognition (1998) Review
[Paper] SPPnet: Spatial Pyramid Pooling in Deep Convolutional Networks for Visual Recognition
[Paper] VGGNet: Very Deep Convolutional Networks for Large-Scale Image Recognition
@ BERT
@ DeepSpeed-MoE
Activation Function(ํ์ฑํ ํจ์)
AutoGen
backpropagation
CNN(Convolutional Neural Network)
Cross Entropy(ํฌ๋ก์ค ์ํธ๋กํผ)
Global & Local Minima, Saddle Point
Gradient Descent
Linear Regression (์ ํ ํ๊ท)
Logistic Regression (๋ก์ง์คํฑ ํ๊ท)
ML/DL Design Pattern
Model.train(), Model.eval(), torch.no_grad()
Multi-Layer Perceptron
Optimizer
perceptron
Sequence ์์๋ฐ์ Custom Dataset ๋ง๋ค๊ธฐ
Torch ์ฐ์ฐ ์ ๋ฆฌ
ํ๊ท๋ชจ๋ธ ํ๊ฐ์ฐ์
Engineering
Deepspeed watchdog timeout error
Excalidraw
Drawing_CA_CH2.excalidraw
dynamic linking.excalidraw
Retrospective
2023-1๋ถ๊ธฐ ํ๊ณ
2023-2๋ถ๊ธฐ ํ๊ณ
2023-3๋ถ๊ธฐ ํ๊ณ
University
University.2-1
Opensource
Agile Case Study
Drawing Figure
Linux๋ก ํ ํ๊ธฐ ์ด๊ธฐ
Unittest
What is Alpine Linux?
What is Python? Why Python is used in ML, DL?
OperationSystem
File-System Implementation
File-System Interface
File-System Internals
I/O Systems
Mass-Stroage Structure
OS-Structure
Virtual Memory
University.2-2
ComputerNetwork
[Computer Networks] L01.OSI 7 Layer
[Computer Networks] L02 Basic
[Computer Networks] L02 MAC
[Computer Networks] L03 DLC
[Computer Networks] L04 MAC DLC Part1
[Computer Networks] L06 Network Layer Part.1
[Computer Networks] L07.Network Layer Part2
[Computer Networks] L08.Transport Part1
[Computer Networks] L09 Transport Part2
[Computer Networks] L10.HTTP
[Computer Networks] L11 Cloud Computing
[Computer Networks] L13 GameNetworking
ComNet-์์๋ฌธ์
DataStructure
[์๋ฃ๊ตฌ์กฐ] L01.Software Engineering Principles
[์๋ฃ๊ตฌ์กฐ] L02.Data Design and Implementation
[์๋ฃ๊ตฌ์กฐ] L03.ADTs Unsorted List and Sorted List
[์๋ฃ๊ตฌ์กฐ] L04.ADTs Stack and Queue
[์๋ฃ๊ตฌ์กฐ] L05.Linked Structures
[์๋ฃ๊ตฌ์กฐ] L06. Lists Plus
[์๋ฃ๊ตฌ์กฐ] L07. Recursion
[์๋ฃ๊ตฌ์กฐ] L08. Binary Search Tree
[์๋ฃ๊ตฌ์กฐ] L09. Priority Queues, Heaps, and Graphs
[์๋ฃ๊ตฌ์กฐ] L10. Sorting and Searching Algorithms
DiscreteSturcture
[์ด์ฐ๊ตฌ์กฐ] L01.์ด์ฐ์ํ์ ๊ฐ์
[์ด์ฐ๊ตฌ์กฐ] L02.๋ ผ๋ฆฌ์ ๋ช ์
[์ด์ฐ๊ตฌ์กฐ] L03.์งํฉ๋ก ๊ณผ ๋์งํธ์ ์ธ ์์ ์ธ๊ณ
[์ด์ฐ๊ตฌ์กฐ] L04.์ฆ๋ช ๋ฒ
[์ด์ฐ๊ตฌ์กฐ] L05.๊ด๊ณ
[์ด์ฐ๊ตฌ์กฐ] L06.ํจ์
[์ด์ฐ๊ตฌ์กฐ] L07.๊ทธ๋ํ
[์ด์ฐ๊ตฌ์กฐ] L08.ํธ๋ฆฌ
์ด์ฐ๊ตฌ์กฐ ์ค๊ฐ๊ณ ์ฌ(2023-2)
Evolution
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L01.์ ๋ค์์ด ์ค์ํ๊ฐ?
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L02.์์ฐ ์ ํ์ ์ํ ์งํ
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L03.์ ์์ฃผ์ ํ๋ก๊ทธ๋จ
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L04.์ธ๊ฐ์ ์งํํ ๋ง์
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L05.๋ณธ์ฑ๊ณผ ์์ก
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L06.์ง์ง๊ธฐ์ ์ฌ๋ฆฌ(1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L07.์ง์ง๊ธฐ์ ์ฌ๋ฆฌ(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L08.๊ฐ์กฑ๊ณผ ํ์ฐ(1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L09.๊ฐ์กฑ๊ณผ ํ์ฐ(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L10.๋น์น์กฑ๊ณผ์ ํ๋ ฅ(1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L11.๋น์น์กฑ๊ฐ์ ํ๋ ฅ(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L12.์์กด ์์ ๋ฌธ์ (1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L13.์์กด ์์ ๋ฌธ์ (2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L14.์งํ ์ํ(1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L15.์งํ์ํ(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L16.๋ฌธํ(1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L17. ๋ฌธํ(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L18. ํญ๋ ฅ(1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L19. ํญ๋ ฅ(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L20.์์ฐ์ ๋ฏธ
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L21. ์์ฐ์ ๋ฏธ(2), ๊ท์ฌ์
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L22. ์คํ ๋ฆฌํ ๋ง
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L23. ๋๋
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L24. ๋๋(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L25. ์ ์น(1)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L26. ์ ์น(2)
[์งํ์ ์ธ๊ฐ ๋ณธ์ฑ] L27. ์ข ๊ต
MicroService
[Microservice Programming] L02.Cloud Computing & Infrastructure
[Microservice Programming] L03.Infrastructure & Virtualization
[Microservice Programming] L04.Virtualization & Container Technology
[Microservice Programming] L05.Docker Introduction
[Microservice Programming] L06.Docker Overview
[Microservice Programming] L07.DockerHub
[Microservice Programming] L09.Docker Compose
[Microservice Programming] L10.Docker Storage
[Microservice Programming] L13.Docker Swarm(1)
[Microservice Programming] L16.Kubernetes
[Microservice Programming] L18.Nodes and Pods
[Microservice Programming] L19.Controllers
[Microservice Programming] L20.Kubernetes Objects
[Microservice Programming] L22. Services
[Microservice Programming] L26. Storage
MS-์์๋ฌธ์
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Jun 10, 2023
File-System Interface
#OperationSystem
#File
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#Directory