Michael Lim's starred repositories
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
Made-With-ML
Learn how to design, develop, deploy and iterate on production-grade ML applications.
transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
aws-lambda-rust-runtime
A Rust runtime for AWS Lambda
aws-sdk-rust
AWS SDK for the Rust Programming Language
headlessui
Completely unstyled, fully accessible UI components, designed to integrate beautifully with Tailwind CSS.
awesome-code-review
An "Awesome" list of code review resources - articles, papers, tools, etc
tuplex
Tuplex is a parallel big data processing framework that runs data science pipelines written in Python at the speed of compiled code. Tuplex has similar Python APIs to Apache Spark or Dask, but rather than invoking the Python interpreter, Tuplex generates optimized LLVM bytecode for the given pipeline and input data set.
Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.