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Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Curated list of open source tooling for data-centric AI on unstructured data.
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
Open source code for AlphaFold.
개발관련 정보를 얻을 수 있는 곳들, by 이노베이션 아카데미
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
This curated list contains python packages for time series analysis
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
2019.04.13부터 시작한 스터디 모임의 repository입니다. 주교재: https://www.gitbook.com/book/ddanggle/interpy-kr
A library of sklearn compatible categorical variable encoders
A list of deep learning implementations in biology
Google, Naver multiprocess image web crawler (Selenium)
Distributed Deep learning with Keras & Spark
Lime: Explaining the predictions of any machine learning classifier
Bioinformatics pipeline for selecting patient-specific cancer neoantigen vaccines
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
The Ensembl Variant Effect Predictor predicts the functional effects of genomic variants
A versatile sequenced read processor for nanopore direct RNA sequencing
Classification models trained on ImageNet. Keras.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Kaggle-Knowhow(Korean Ver) 한국분들을 위한 Kaggle 자료 모음입니다
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases