Seungwoo Ryu (data-weirdo)

data-weirdo

Geek Repo

Company:KAIST

Location:Seongnam, South Korea

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Seungwoo Ryu's repositories

awesome-rl

Reinforcement learning resources curated

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Coursera_Reinforcement_Learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

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data-weirdo.github.io

data-weirdo's github page

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LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

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lumi-airflow

Apache Airflow

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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pymc4

A high-level probabilistic programming interface for TensorFlow Probability

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reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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solidity

Solidity, the Contract-Oriented Programming Language

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studio

Component based analytics studio on the web browser

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Udemy-ES

Ethereum&Solidity

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Undergraduate-codes

From April 24th, 2020 to February 28th, 2021

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GearNet-Reproduce

PyTorch Implementation of 'GearNet: Geometry-Aware Relational Graph Neural Network' (ICLR'2023)

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GearNet-Reproduce-Just4Fun

PyTorch Implementation of 'GearNet: Geometry-Aware Relational Graph Neural Network' (ICLR'2023)

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Graduate-codes

From March 2nd, 2021 to February 2nd, 2023

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StyleBART

Rethinking Style Transformer with Energy-based Interpretation: Adversarial Unsupervised Style Transfer using a Pretrained Model (EMNLP'2022)

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alphafold2

To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

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atom3

Atomic Data Processing

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CS231n

My solutions on CS231n Spring 2020 from Stanford University

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deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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GNN-Tutorial

Graph Neural Network Tutorial

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homework_fall2020

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

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jekyll-theme-chirpy

A minimal, sidebar, responsive web design Jekyll theme that focuses on text presentation.

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P-tuning

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

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