Stars
EQTransformer, a python package for earthquake signal detection and phase picking using AI.
End-to-end earthquake detection pipeline via efficient time series similarity search
Distributed Asynchronous Hyperparameter Optimization in Python
Implementation and experiments of graph embedding algorithms.
An interactive git training meant to teach you how git works, not just which commands to execute
list of papers, code, and other resources
Spatio-temporal modeling 论文列表（主要是graph convolution相关)
[IJCAI'18] Spatio-Temporal Graph Convolutional Networks
Python library assists deep learning on graphs
NO LONGER SUPPORTED - use https://github.com/plotly/dash-table instead
Series of videos to cover important topics in Plotly Dash framework. Building an interactive app from scratch + cool tips and functionalities.
Dash for python example dashboard showing nba player career stats in a table with interactive plots.
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Time Series Modeling: ML and Deep Learning Approaches with Python
Network and Graph Algorithms From Scratch
Learning Topological Representation for Networks via Hierarchical Sampling
macOS development environment setup: Easy-to-understand instructions with automated setup scripts for developer tools like Vim, Sublime Text, Bash, iTerm, Python data analysis, Spark, Hadoop MapRed…
Pytorch framework for doing deep learning on point clouds.
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks…
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…
Resources for my talk "Dash for Crime - Using Dash by Plotly for Interactive Visualisation of Crime Data" at PyCon AU 2019
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Elyra extends JupyterLab with an AI centric approach.
Serve, optimize and scale PyTorch models in production