Stars
Dataframes powered by a multithreaded, vectorized query engine, written in Rust
Sioyek is a PDF viewer with a focus on textbooks and research papers
Free MLOps course from DataTalks.Club
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
Experiments with Knuth's 5,757 five letter words.
Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits
EuroSAT: Land Use and Land Cover Classification with Sentinel-2
The code, citation & note companion to the AICamp Webinar "Understanding Graph Convolutional Networks" hosted on September 7th, 2021.
Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Collection of articles listing reasons why data science projects fail.
Fast Data Science, AKA fds, is a CLI for Data Scientists to version control data and code at once, by conveniently wrapping git and dvc
A community-maintained Python framework for creating mathematical animations.
Code to repeat the experiments of "The economic value of neighborhoods: Predicting real estate prices from the urban environment"
Luminaire is a python package that provides ML driven solutions for monitoring time series data.
Always know what to expect from your data.
⛔ [NOT MAINTAINED] An End-To-End Closed Domain Question Answering System.
An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..
FastAPI framework, high performance, easy to learn, fast to code, ready for production
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Fast and Accurate ML in 3 Lines of Code
Python code for "Probabilistic Machine learning" book by Kevin Murphy