Joon-Park92's Stars
kefranabg/readme-md-generator
π CLI that generates beautiful README.md files
SE-ML/awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
cortexlabs/cortex
Production infrastructure for machine learning at scale
mtomassoli/papers
Collection of papers
dair-ai/nlp_newsletter
π°Natural language processing (NLP) newsletter
microsoft/nlp-recipes
Natural Language Processing Best Practices & Examples
google/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
GoogleCloudPlatform/bigquery-oreilly-book
Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media
davidsandberg/facenet
Face recognition using Tensorflow
practical-tutorials/project-based-learning
Curated list of project-based tutorials
GoogleCloudPlatform/ml-on-gcp
Machine Learning on Google Cloud Platform
thunlp/PLMpapers
Must-read Papers on pre-trained language models.
rsapkf/42
@rsapkf's wiki. [Merged into rsapkf/www]
jsrimr/MLpipeline
AzureML μ μ¬μ©ν ML pipeline λ§λ€κΈ°
spotify/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
leehosung/awesome-devteam
μ’μ κ°λ°νμ λ§λλλ° λμμ΄ λλ μλ£
fast-ai-kr/ko-translation
fast.ai κ΄λ ¨, μλ¬Έ κΈλ€μ λ²μνκ³ κ΄λ¦¬νκΈ° μν μ μ₯μ μ λλ€.
SKTBrain/KoBERT
Korean BERT pre-trained cased (KoBERT)
graykode/nlp-roadmap
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
dylanaraps/pure-bash-bible
π A collection of pure bash alternatives to external processes.
pallets/website-2016
Archive of the Pallets website from 2016-2024
terryum/awesome-deep-learning-papers
The most cited deep learning papers
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
miguelgrinberg/microblog
The microblogging application developed in my Flask Mega-Tutorial series. This version maps to the 2024 Edition of the tutorial.
carpedm20/board
bshao001/TF-Model-Deploy-Tutorial
A tutorial exploring multiple approaches to deploy a trained TensorFlow (or Keras) model or multiple models for prediction.
codingeverybody/codingyahac
sergiokopplin/indigo
Minimalist Jekyll Template, dark and light themes
Integerous/goQuality-dev-contents
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jwkanggist/automl-papers-in-practice
A collection of paper for the noisy label problems