Lee Ming Xiang's repositories
AI-as-an-API
Learn to create & deploy a deep learning algorithm into a production REST API microservice using Python, Keras, FastAPI, & NoSQL.
bayesian-stats-modelling-tutorial
How to do Bayesian statistical modelling using numpy and PyMC3
course22p2_fastai
course.fast.ai 2022 part 2
dask-tutorial
Dask tutorial
deep-learning-from-scratch-pytorch
Deep Learning from Scratch with PyTorch
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
diffusion-nbs
Getting started with diffusion
dotfiles
Default configuration for Le Wagon's students
fastai_deeplearning
https://course.fast.ai
https-github.com-peng-zhihui-XUAN-Bike
稚挥君XUAN自行车
introdatascience
Introduction to Data Science
introduction-to-conda-for-data-scientists
Introduction to Conda for (Data) Scientists
machine-learning-systems-design
A booklet on machine learning systems design with exercises
Predict_Futre_Sale
Data_Analytics_Project
scikit-image
Image processing in Python
scikit-learn
scikit-learn: machine learning in Python
scipy-2020-pandas
Learn Python through Data Processing in Pandas Tutorial
sentence-transformers
Multilingual Sentence & Image Embeddings with BERT
solar_ai
roof solar segmentation project
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
Unsupervised_Seg
Unsupervised_Segmentation