Soyeon Kim's repositories
BoostcampAITech3-PaperReading-Embedding
Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding
course-content
Summer course content for Neuromatch Academy
Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
PythonStudy
파이썬 스터디
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
final-project-level3-nlp-03
final-project-level3-nlp-03 created by GitHub Classroom
level2-klue-level2-nlp-03
level2-klue-level2-nlp-03 created by GitHub Classroom
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
active_learning_test
baseline 실험
AdvancedML
Reading list for the Advanced Machine Learning Course
awesome-dl-projects
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
CleanCodeInPython
파이썬 클린코드 내용 정리
graph-rcnn.pytorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
hypercl
Continual Learning with Hypernetworks. A continual learning approach that has the flexibility to learn a dedicated set of parameters, fine-tuned for every task, that doesn't require an increase in the number of trainable weights and is robust against catastrophic forgetting.
ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
level1-image-classification-level1-nlp-09
네이버 부스트캠프 | 마스크 이미지 분류 대회 | level1-image-classification-level1-nlp-09 created by GitHub Classroom
level2-data-annotation_nlp-level2-nlp-03
level2-data-annotation_nlp-level2-nlp-03 created by GitHub Classroom
machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
NIID-Bench
Federated Learning on Non-IID Data Silos: An Experimental Study
sg_inference
sg inference without lib/scene_parser
small_tips
개인 기록용