narame7

Scientist, Engineer, Programmer, Lecturer, and Player! Department of AI @ University of Seoul

University of SeoulSeoul

Pinned Repositories

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2020_python_class
2020 KNU 바이오데이터 엔지니어 양성사업
Language:Jupyter Notebook05
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
Language:Python00
AdaIN-style
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
Language:Lua00
AI_code_complexity
Language:Java00
AirConcierge
AirConcierge-Pytorch-Implementation
Language:Python00
reinforcement-learning-course
Mini-course on reinforcement learning
Language:Jupyter Notebook10
un-xPass
Measuring soccer player's creativity
Language:Jupyter Notebook10
WebTrafficAnalysis
Language:Jupyter Notebook10

narame7's Repositories

narame7/un-xPass
Measuring soccer player's creativity
Language:Jupyter Notebook10
narame7/deep_ball_radar
Language:Jupyter Notebook0 1 00
narame7/Algorithms
lecture notes for the algorithms class together with most of the programs
Language:Jupyter Notebook0 0
narame7/BookRepo
Language:Jupyter Notebook
narame7/concepts-of-programming-languages
Master Course: Concepts of Programming Languages - University of Applied Sciences Rosenheim
narame7/dnnv
A Framework for Deep Neural Network Verification
narame7/external-knowledge-codegen
Code and data for ACL20 paper "Incorporating External Knowledge through Pre-training for Natural Language to Code Generation"
narame7/Football-Cracks
narame7/leaguescheduler
Generate optimal schedules for your time-relaxed double round-robin (2RR) sports leagues
narame7/MARL_experiments
narame7/mini-marl
Language:Python0 0
narame7/minimal-marl
Minimal implementation of multi-agent reinforcement learning algorithms
narame7/MSR2021-ProgramRepair
Code of our paper Applying CodeBERT for Automated Program Repair of Java Simple Bugs which is accepted to MSR 2021.
narame7/narya
The Narya API allows you track soccer player from camera inputs, and evaluate them with an Expected Discounted Goal (EDG) Agent. This repository contains the implementation of the flowing paper https://arxiv.org/abs/2101.05388. We also make available all of our pretrained agents, and the datasets we used as well.
narame7/off-policy
PyTorch implementations of popular off-policy multi-agent reinforcement learning algorithms, including QMix, VDN, MADDPG, and MATD3.
Language:Python
narame7/on-policy
This is the official implementation of Multi-Agent PPO (MAPPO).
Language:Python
narame7/open-data
Free football data from StatsBomb
narame7/practical-time-series-analysis-korean
narame7/reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
narame7/set-transformer
A neural network architecture for prediction on sets
narame7/sigpl23-tutorial
narame7/SNN-Verification-Optimization
SNN Formal Verification Optimization
Language:Jupyter Notebook
narame7/SoftConsiceNormalForm
Language:Python
narame7/Theoretical-Algorithms-Implementation
CLRS(Introduction to Algorithms) - Python/C++/Java Implementation of all the major Algorithms in the CLRS Textbook as well as additional algorithm's covered in the University of Alberta theory Courses
narame7/TimeSeriesAnalysisWithPython
narame7/UOS-AI20010-Algorithm-Analysis-2024-Spring
Algorithm Analysis, Spring 2024, University of Seoul
narame7/UOS-AI20014
UoS Database Systems
narame7/UOS-AI20041
2023-2, University of Seoul, Reinforcement Learning
Language:Jupyter Notebook
narame7/whilelang
A small programming language created with Scala and ANTLR
narame7/z3_tutorial
Jupyter notebooks for tutorial on the Z3 SMT solver