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 |
Optuna: A hyperparameter optimization framework Website | Docs | Install Guide | Tutorial Optuna is an automatic hyperparameter optimization software
AIAlpha: Multilayer neural network architecture for stock return prediction This project is meant to be an advanced implementation of stacked neural n
PICASO Official PyTorch implemetation for the paper PICASO:Permutation-Invariant Cascaded Attentive Set Operator. Requirements Python 3 torch = 1.0 n
DeepSpeed+Megatron trained the world's most powerful language model: MT-530B DeepSpeed is hiring, come join us! DeepSpeed is a deep learning optimizat
Minimal-IK A simple and naive inverse kinematics solver for MANO hand model, SMPL body model, and SMPL-H body+hand model. Briefly, given joint coordin
SE(3)-eSCOPE video | paper | website Leveraging SE(3) Equivariance for Self-Supervised Category-Level Object Pose Estimation Xiaolong Li, Yijia Weng,
VarCnn: The Deep Learning Powered VAR
Training addernet accelerated by CUDA Usage cd adder_cuda python setup.py install cd .. python main.py Environment pytorch 1.10.0 CUDA 11.3 benchmark
DeepI2I: Enabling Deep Hierarchical Image-to-Image Translation by Transferring from GANs Abstract: Image-to-image translation has recently achieved re
Cascaded-FCN This repository contains the pre-trained models for a Cascaded-FCN in caffe and tensorflow that segments the liver and its lesions out of
Higher-Order Transformers Kim J, Oh S, Hong S, Transformers Generalize DeepSets and Can be Extended to Graphs and Hypergraphs, NeurIPS 2021. [arxiv] W
ArtLine The main aim of the project is to create amazing line art portraits. Sounds Intresting,let's get to the pictures!! Model-(Smooth) Model-(Quali
B-Pref Official codebase for B-Pref: Benchmarking Preference-BasedReinforcement Learning contains scripts to reproduce experiments. Install conda env
Numbering permanent and deciduous teeth via deep instance segmentation in panoramic X-rays In this repo, you will find the instructions on how to requ
Multi-Singer Unofficial PyTorch Implementation of Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus. Requirements See re
PyDSE Toolset for Dynamic System Estimation for time series inspired by DSE. It is in a beta state and only includes ARMA models right now. Documentat
hyperopt-sklearn Hyperopt-sklearn is Hyperopt-based model selection among machine learning algorithms in scikit-learn. See how to use hyperopt-sklearn
ccks2021_track3_baseline a baseline to practice 路径可能会有问题，自己改改 torch==1.7.1 pyhton==3.7.1 transformers==4.7.0 cuda==11.0 this is a baseline, you can fi
Evolutionary Population Curriculum for Scaling Multi-Agent Reinforcement Learning This is the code for implementing the MADDPG algorithm presented in
Cooperative Driving Dataset (CODD) The Cooperative Driving dataset is a synthetic dataset generated using CARLA that contains lidar data from multiple
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