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Name: Soyeon Kim
Type: User
Name: Soyeon Kim
Type: User
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Reading list for the Advanced Machine Learning Course
This is a collection of the code that accompanies the reports in The Gallery by Weights & Biases.
Boostcamp AI Tech 3rd / Basic Paper reading w.r.t Embedding
파이썬 클린코드 내용 정리
The Hugging Face course
Summer course content for Neuromatch Academy
Remove problematic gender bias from word embeddings.
Implementation of Communication-Efficient Learning of Deep Networks from Decentralized Data
Repository for few-shot learning machine learning projects
final-project-level3-nlp-03 created by GitHub Classroom
GCT634 Musical Applications of Machine Learning Homework
Pytorch code for our ECCV 2018 paper "Graph R-CNN for Scene Graph Generation" and other papers
Harvard Statistics 110: Probability
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.
:boy: :girl: Technical-Interview guidelines written for those who started studying programming. I wish you all the best. :space_invader:
An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
네이버 부스트캠프 | 마스크 이미지 분류 대회 | level1-image-classification-level1-nlp-09 created by GitHub Classroom
level2-data-annotation_nlp-level2-nlp-03 created by GitHub Classroom
level2-klue-level2-nlp-03 created by GitHub Classroom
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Numerical analysis course in Python
Topics course Mathematics of Deep Learning, NYU, Spring 18
Federated Learning on Non-IID Data Silos: An Experimental Study
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
EPFL Course - Optimization for Machine Learning - CS-439
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.