Pinned Repositories
Monthly-Data-Analysis
codes that are used for Monthly Data Analysis projects
awesome-deep-learning-papers
The most cited deep learning papers
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
benheo.github.io
데이터분석가 허현의 분석 블로그입니다. 저만의 관점으로 풀어가는 데이터분석과 지식축적 과정을 다룹니다.
Coursera
machine learning class
cs231n
CS231n 번역 프로젝트
DAT3
General Assembly's Data Science course in Washington, DC
datasharing
The Leek group guide to data sharing
DeepLearning
Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville
famous_algorithms_made_by_me
BenHeo's Repositories
BenHeo/LLMsPracticalGuide
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
BenHeo/benheo.github.io
데이터분석가 허현의 분석 블로그입니다. 저만의 관점으로 풀어가는 데이터분석과 지식축적 과정을 다룹니다.
BenHeo/RecSys-Basic-Competition-Baseline
RecSys Basic Competition Baseline
BenHeo/pytorch-fm
Factorization Machine models in PyTorch
BenHeo/Monthly-Data-Analysis
codes that are used for Monthly Data Analysis projects
BenHeo/SNU
BenHeo/Coursera
machine learning class
BenHeo/awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
BenHeo/DeepLearning
Lecture slides for study about "Deep Learning" written by Ian Goodfellow, Yoshua Bengio and Aaron Courville
BenHeo/famous_algorithms_made_by_me
BenHeo/awesome-deep-learning-papers
The most cited deep learning papers
BenHeo/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
BenHeo/tensorflow
Computation using data flow graphs for scalable machine learning
BenHeo/datasharing
The Leek group guide to data sharing
BenHeo/cs231n
CS231n 번역 프로젝트
BenHeo/DAT3
General Assembly's Data Science course in Washington, DC