프로그래밍 기초 Ⅰ 아카이브
Do it! 점프 투 파이썬
| 주차 | 강의주제 | 비고 |
|---|---|---|
| 1주차 | Syllabus | |
| 2주차 | 자료형 - 숫자형 | |
| 3주차 | 자료형 - 문자열형 | |
| 4주차 | 입력과 출력 | |
| 5주차 | 제어문 - 조건문 if | |
| 6주차 | 제어문 - 반복문 while | |
| 7주차 | module - random | |
| 8주차 | 중간고사 | |
| 9주차 | 함수 | |
| 10주차 | module - turtle | |
| 11주차 | 자료형 - container : list, tuple, set | |
| 12주차 | 제어문 - 반복문 for | |
| 13주차 | 자료형 - container : dictionary module - numpy | |
| 14주차 | module - matplotlib | |
| 15주차 | 기말고사 |
PythonCall & JuliaCall Bringing Python® and Julia together in seamless harmony: Call Python code from Julia and Julia code from Python via a symmetric
TAPEX: Table Pre-training via Learning a Neural SQL Executor The official repository which contains the code and pre-trained models for our paper TAPE
FOREC: A Cross-Market Recommendation System This repository provides the implementation of our CIKM 2021 paper titled as "Cross-Market Product Recomme
Organseg dags - The repository contains the codebase for multi-organ segmentation with directed acyclic graphs (DAGs) in CT.
Documentation: https://raamana.github.io/neuropredict/ News As of v0.6, neuropredict now supports regression applications i.e. predicting continuous t
Cycle Consistent Adversarial Domain Adaptation (CyCADA) A pytorch implementation of CyCADA. If you use this code in your research please consider citi
A tensorflow convolutional neural network model to detect facial expressions.
Rainbow Rainbow: Combining Improvements in Deep Reinforcement Learning [1]. Results and pretrained models can be found in the releases. DQN [2] Double
Visual Tracking by TridentAlign and Context Embedding (TACT) Test code for "Visual Tracking by TridentAlign and Context Embedding" Janghoon Choi, Juns
Boston-House-Prediction-Valuation-Tool From Below Anlaysis The Valuation Tool is Designed Correlation Matrix Regrssion Analysis Between Target Vs Pred
Make-A-Scene - PyTorch Pytorch implementation (inofficial) of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors (https://arxiv.org/
Generative Occupancy Fields for 3D Surface-Aware Image Synthesis (NeurIPS 2021) Project Page | Paper Xudong Xu, Xingang Pan, Dahua Lin and Bo Dai GOF
RETRO - Pytorch (wip) Implementation of RETRO, Deepmind's Retrieval based Attent
Introduction PyTorch3D provides efficient, reusable components for 3D Computer Vision research with PyTorch. Key features include: Data structure for
DCSR: Dual Camera Super-Resolution Implementation for our ICCV 2021 oral paper: Dual-Camera Super-Resolution with Aligned Attention Modules paper | pr
A Straightforward Framework For Video Retrieval Using CLIP This repository contains the basic code for feature extraction and replication of results.
Generative Zero-Shot Learning for Semantic Segmentation of 3D Point Clouds Björn Michele1), Alexandre Boulch1), Gilles Puy1), Maxime Bucher1) and Rena
Pri3D: Can 3D Priors Help 2D Representation Learning? [ICCV 2021] Pri3D leverages 3D priors for downstream 2D image understanding tasks: during pre-tr
deepface Deepface is a lightweight face recognition and facial attribute analysis (age, gender, emotion and race) framework for python. It is a hybrid
Sparse-dense operators implementation for Paddle This module implements coo, csc and csr matrix formats and their inter-ops with dense matrices. Feel
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