Pinned Repositories
active_learning_test
baseline 실험
AdvancedML
Reading list for the Advanced Machine Learning Course
BoostcampAITech3-PaperReading-Embedding
Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding
course-content
Summer course content for Neuromatch Academy
data_construction
HAM
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.
kimcando's Repositories
kimcando/BoostcampAITech3-PaperReading-Embedding
Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding
kimcando/course-content
Summer course content for Neuromatch Academy
kimcando/data_construction
kimcando/HAM
kimcando/Interview_Question_for_Beginner
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
kimcando/PythonStudy
파이썬 스터디
kimcando/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
kimcando/active_learning_test
baseline 실험
kimcando/AdvancedML
Reading list for the Advanced Machine Learning Course
kimcando/final-project-level3-nlp-03
final-project-level3-nlp-03 created by GitHub Classroom
kimcando/level2-klue-level2-nlp-03
level2-klue-level2-nlp-03 created by GitHub Classroom
kimcando/OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
kimcando/awesome-dl-projects
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
kimcando/CleanCodeInPython
파이썬 클린코드 내용 정리
kimcando/clever_gen_bbox
kimcando/course
The Hugging Face course
kimcando/debiaswe
Remove problematic gender bias from word embeddings.
kimcando/few-shot
Repository for few-shot learning machine learning projects
kimcando/graph-rcnn.pytorch
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
kimcando/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.
kimcando/ISLR-python
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
kimcando/kimcando.github.io
kimcando/level1-image-classification-level1-nlp-09
네이버 부스트캠프 | 마스크 이미지 분류 대회 | level1-image-classification-level1-nlp-09 created by GitHub Classroom
kimcando/level2-data-annotation_nlp-level2-nlp-03
level2-data-annotation_nlp-level2-nlp-03 created by GitHub Classroom
kimcando/machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
kimcando/math105A
Numerical analysis course in Python
kimcando/NIID-Bench
Federated Learning on Non-IID Data Silos: An Experimental Study
kimcando/sam
SAM: Sharpness-Aware Minimization (PyTorch)
kimcando/sg_inference
sg inference without lib/scene_parser
kimcando/small_tips
개인 기록용