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airs

Artificial Intelligence Research for Science (AIRS)

awesome-crystal-gnns

This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials

awesome-graph-research-iclr2024

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

awesome-llm-uncertainty-reliability-robustness

Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

boj

Baekjoon Online Judge Problem Solving

cownowan

cownowan.github.io

cownowan2.github.io

AcadHomepage: A Modern and Responsive Academic Personal Homepage

cs231n

CS231n: Convolutional Neural Networks for Visual Recognition

cv

My curriculum vitae (CV) written using LaTeX.

dass

Official PyTorch implementation of "Meta-prediction Model for Distillation-Aware NAS on Unseen Datasets" (ICLR 2023 notable top 25%)

data-structure

About data structure

deep-learning-paper-practice

Reading and practicing deep learning related papers

diffusionnag

Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)

dlmatreview

https://www.nature.com/articles/s41524-022-00734-6

hammerspoon-foundation_remapping

Hammerspoon configuration script which remaps any keys for Sierra.

materials_discovery

metad2a

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

ml-data-prep-workshop

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

productive-box

Are you an early 🐤 or a night 🦉? Let's check out in gist

pymldg-rev

《파이썬 머신러닝 완벽 가이드 (개정판)》 예제 코드

python-algorithm-interview

파이썬 알고리즘 인터뷰 : 95가지 알고리즘 문제 풀이로 완성하는 코딩 테스트 - 박상길 저

python-basics-for-ai

Naver boost-course "Python Basics for AI"

python-for-coding-test

이것이 취업을 위한 코딩 테스트다 with 파이썬 - 나동빈 저

pytorch

Deep Learning Zero to All - Pytorch

pytorch-lightning

The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.

snu_advanced-energy-materials-lab

Research intern

snu_neuromorphic-materials-and-devices-lab

Benchmark framework of synaptic device technologies for a simple neural network

vision

Datasets, Transforms and Models specific to Computer Vision