kimcando Goto Github PK

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.

boostcampaitech3-paperreading-embedding

Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding

cleancodeinpython

파이썬 클린코드 내용 정리

clever_gen_bbox

course

The Hugging Face course

course-content

Summer course content for Neuromatch Academy

data_construction

debiaswe

Remove problematic gender bias from word embeddings.

federated-learning-pytorch

Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data

few-shot

Repository for few-shot learning machine learning projects

final-project-level3-nlp-03

final-project-level3-nlp-03 created by GitHub Classroom

gct634-2019

GCT634 Musical Applications of Machine Learning Homework

graph-rcnn.pytorch

Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers

ham

harvard-stats-110

Harvard Statistics 110: Probability

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.

interview_question_for_beginner

:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kimcando.github.io

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

level2-klue-level2-nlp-03

level2-klue-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).

math105a

Numerical analysis course in Python

mathsdl-spring18

Topics course Mathematics of Deep Learning, NYU, Spring 18

niid-bench

Federated Learning on Non-IID Data Silos: An Experimental Study

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

optml_course

EPFL Course - Optimization for Machine Learning - CS-439