Stars
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Python packaging and dependency management made easy
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Typer, build great CLIs. Easy to code. Based on Python type hints.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
Open Source Platform for developing, scaling and deploying serious ML, AI, and data science systems
A modular SQL linter and auto-formatter with support for multiple dialects and templated code.
Implementation of Graph Convolutional Networks in TensorFlow
Manipulation and analysis of geometric objects
An interactive grid for sorting, filtering, and editing DataFrames in Jupyter notebooks
Sequential model-based optimization with a `scipy.optimize` interface
Implementation of Graph Auto-Encoders in TensorFlow
Supporting code for my article on video streaming with Flask.
Extract from AWS DeepRacer Robomaker Bundle