An algorithm study of the 6th iOS 10 set of Boost Camp Web Mobile

Overview

알고리즘 스터디 🔥

부스트캠프 웹모바일 6기 iOS 10조의 알고리즘 스터디 입니다.

개인적인 사정 등으로 S034, S055만 참가하였습니다.

스터디 목적

  • 상진: 코테 합격 + 부캠끝나고 아침에 일어나기 위해 필요한 사이클
  • 기완: 꾸준하게 자리에 앉아 공부하기 + 코드 설명 연습

  • 2문제부터 시작해서 코딩테스트에 많이 사용되는 3문제 2시간을 flow에 넣도록 실력을 키우기

스터디 기간

  • 21.12.13 ~ 누군가 합격할 때 까지
  • 합격 후 면접스터디로 전환(떨어진사람은 혼자코테준비하기)

스터디 방법

  • 월~금 매일 오전 10시 ~ 12시까지 3문제씩 풀기 + 5시 ~ 6시 리뷰하기

난이도 조절

  • 객관적인 실력 평가를 위해 일주일 동안 같은 문제 수, 시간을 가지고 공부 후 일주일 마다 난이도 조정
  • 21.12.13 ~ 21.12.20 1시간 40분 / 2문제
  1. 스터디 목적(개인포함) 상진: 코테 합격 + 부캠끝나고 아침에 일어나기 위해 필요한 사이클 기완: 꾸준하게 자리에 앉아 공부하기 + 코드 설명 연습
  2. 스터디 기간은? 월-금(1주일 테스트), 누군가 합격할 때 까지 - 합격하면 면접스터디로 전환(떨어진사람은 혼자코테준비하기)

문제 목록

날짜 출제 기관 문제
2021.12.13 2021 KAKAO BLIND RECRUITMENT 메뉴 리뉴얼
2021.12.13 2021 KAKAO BLIND RECRUITMENT 순위 검색
2021.12.14 2021 KAKAO 채용연계형 인턴십 표 편집
2021.12.14 2021 KAKAO 채용연계형 인턴십 거리두기 확인하기

스프린트 캘린더

wiki 참조

[NeurIPS 2021] Code for Unsupervised Learning of Compositional Energy Concepts

Unsupervised Learning of Compositional Energy Concepts This is the pytorch code for the paper Unsupervised Learning of Compositional Energy Concepts.

45 Nov 30, 2022
Code for CVPR2021 paper "Robust Reflection Removal with Reflection-free Flash-only Cues"

Robust Reflection Removal with Reflection-free Flash-only Cues (RFC) Paper | To be released: Project Page | Video | Data Tensorflow implementation for

Chenyang LEI 162 Jan 05, 2023
Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Neural Networks.

Dynamic-Graphs-Construction Official Codes for Graph Modularity:Towards Understanding the Cross-Layer Transition of Feature Representations in Deep Ne

11 Dec 14, 2022
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

🆕 Are you looking for a new YOLOv3 implemented by TF2.0 ? If you hate the fucking tensorflow1.x very much, no worries! I have implemented a new YOLOv

3.6k Dec 26, 2022
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

disclaimer: this code is modified from pytorch-tutorial Image classification with synthetic gradient in Pytorch I implement the Decoupled Neural Inter

Andrew 114 Dec 22, 2022
My solution for the 7th place / 245 in the Umoja Hack 2022 challenge

Umoja Hack 2022 : Insurance Claim Challenge My solution for the 7th place / 245 in the Umoja Hack 2022 challenge Umoja Hack Africa is a yearly hackath

Souames Annis 17 Jun 03, 2022
MARE - Multi-Attribute Relation Extraction

MARE - Multi-Attribute Relation Extraction Repository for the paper submission: #TODO: insert link, when available Environment Tested with Ubuntu 18.0

0 May 11, 2021
M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images

M2MRF: Many-to-Many Reassembly of Features for Tiny Lesion Segmentation in Fundus Images This repo is the official implementation of paper "M2MRF: Man

12 Dec 14, 2022
PyTorch implementation of "PatchGame: Learning to Signal Mid-level Patches in Referential Games" to appear in NeurIPS 2021

PatchGame: Learning to Signal Mid-level Patches in Referential Games This repository is the official implementation of the paper - "PatchGame: Learnin

Kamal Gupta 22 Mar 16, 2022
Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"

Hold me tight! Influence of discriminative features on deep network boundaries This is the source code to reproduce the experiments of the NeurIPS 202

EPFL LTS4 19 Dec 10, 2021
某学校选课系统GIF验证码数据集 + Baseline模型 + 上下游相关工具

elective-dataset-2021spring 某学校2021春季选课系统GIF验证码数据集(29338张) + 准确率98.4%的Baseline模型 + 上下游相关工具。 数据集采用 知识共享署名-非商业性使用 4.0 国际许可协议 进行许可。 Baseline模型和上下游相关工具采用

xmcp 27 Sep 17, 2021
Few-shot Neural Architecture Search

One-shot Neural Architecture Search uses a single supernet to approximate the performance each architecture. However, this performance estimation is super inaccurate because of co-adaption among oper

Yiyang Zhao 38 Oct 18, 2022
2nd solution of ICDAR 2021 Competition on Scientific Literature Parsing, Task B.

TableMASTER-mmocr Contents About The Project Method Description Dependency Getting Started Prerequisites Installation Usage Data preprocess Train Infe

Jianquan Ye 298 Dec 21, 2022
A SAT-based sudoku solver

SAT Sudoku solver A SAT-based Sudoku solver made in the context of a small project in the "Logic Problem Solving" class in the first year at the Polyt

Alexandre Malfreyt 5 Apr 15, 2022
Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation principle for unnormalized statistical models." (Gutmann and Hyvarinen, AISTATS 2010)

Noise Contrastive Estimation for pyTorch Overview This repository contains a re-implementation of the Noise Contrastive Estimation algorithm, implemen

Denis Emelin 42 Nov 24, 2022
The repo of the preprinting paper "Labels Are Not Perfect: Inferring Spatial Uncertainty in Object Detection"

Inferring Spatial Uncertainty in Object Detection A teaser version of the code for the paper Labels Are Not Perfect: Inferring Spatial Uncertainty in

ZINING WANG 21 Mar 03, 2022
Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing

Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing Paper Introduction Multi-task indoor scene understanding is widely considered a

62 Dec 05, 2022
3D-printable hand-strapped keyboard

Note: This repo has not been cleaned up and prepared for general consumption at all. This is just a dump of the project files. If there is any interes

Wojciech Baranowski 41 Dec 31, 2022
Website for D2C paper

D2C This is the repository that contains source code for the D2C Website. If you find D2C useful for your work please cite: @article{sinha2021d2c au

1 Oct 21, 2021
Empirical Study of Transformers for Source Code & A Simple Approach for Handling Out-of-Vocabulary Identifiers in Deep Learning for Source Code

Transformers for variable misuse, function naming and code completion tasks The official PyTorch implementation of: Empirical Study of Transformers fo

Bayesian Methods Research Group 56 Nov 15, 2022