hyunjoonbok's Stars
ohmyzsh/ohmyzsh
🙃 A delightful community-driven (with 2,400+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool that makes it easy to keep up with the latest updates from the community.
tesseract-ocr/tesseract
Tesseract Open Source OCR Engine (main repository)
romkatv/powerlevel10k
A Zsh theme
shap/shap
A game theoretic approach to explain the output of any machine learning model.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
cortexlabs/cortex
Production infrastructure for machine learning at scale
sktime/sktime
A unified framework for machine learning with time series
PyMySQL/PyMySQL
MySQL client library for Python
google/automl
Google Brain AutoML
tensorflow/docs
TensorFlow documentation
allegroai/clearml
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
online-ml/river
🌊 Online machine learning in Python
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
microsoft/SynapseML
Simple and Distributed Machine Learning
facebookresearch/dlrm
An implementation of a deep learning recommendation model (DLRM)
data-science-on-aws/data-science-on-aws
AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker
jbesomi/texthero
Text preprocessing, representation and visualization from zero to hero.
VertaAI/modeldb
Open Source ML Model Versioning, Metadata, and Experiment Management
aws-samples/aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
EmuKit/emukit
A Python-based toolbox of various methods in decision making, uncertainty quantification and statistical emulation: multi-fidelity, experimental design, Bayesian optimisation, Bayesian quadrature, etc.
rstudio/blastula
Easily send great-looking HTML email messages from R
shreyashankar/create-ml-app
Template Makefile for ML projects in Python.
tidyverse/dbplyr
Database (DBI) backend for dplyr
Beomi/KcBERT
🤗 Pretrained BERT model & WordPiece tokenizer trained on Korean Comments 한국어 댓글로 프리트레이닝한 BERT 모델과 데이터셋
aws/sagemaker-pytorch-training-toolkit
Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.
ESeufert/theseus_growth
Theseus is a Python library for cohort analysis
hyunjoonbok/PySpark
PySpark functions and utilities with examples. Assists ETL process of data modeling
hyunjoonbok/amazon-sagemaker
End-to-End examples that show how to solve business problems using Amazon SageMaker and it's ML/DL algorithm.
hyunjoonbok/R-projects
Portfolio in R
hyunjoonbok/natural-language-processing
Ready-to-use Implementation of Natural Language Processing models in Keras/Tensorflow (transformer)