Stan Soo's starred repositories
100-Days-Of-ML-Code
100 Days of ML Coding
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
imgui-node-editor
Node Editor built using Dear ImGui
Meta-Learning-Papers
Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning
learn2learn
A PyTorch Library for Meta-learning Research
pytorch_geometric_temporal
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
Awesome-GNN4TS
π Awesome resources related to GNNs for Time Series Analysis (GNN4TS) π₯ https://arxiv.org/abs/2307.03759
metaflow-ui
:art: UI for monitoring your Metaflow executions!
awesome-dynamic-graphs
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work
awesome-data-temporality
A curated list to help you manage temporal data across many modalities π.
EvolvingGraphs.jl
Working with time-dependent networks in Julia
ContinuousSubgraphMatching
Source code and datasets of "An In-Depth Study of Continuous Subgraph Matching", accepted by VLDB'22 - By Xibo Sun, Dr. Shixuan Sun, Prof. Qiong Luo, and Prof. Bingsheng He
learnable-opinion-dynamics
Code and data for the KDD2020 paper "Learning Opinion Dynamics From Social Traces"
hornetsnest
High-Performance Streaming Graph Analytics on GPUs
lifelong-learning
Lifelong Learning of Graph Neural Networks for Open-World Node Classification
paper_list
The repo lists papers of various areas, including Graph Analytics, Graph Acceleration, Subgraph Matching, Streaming Graph Management, Worst-case Optimal Join Algorithms, Join Plan Optimization, and so on.
parallel-packed-csr
A parallel packed CSR data structure for large-scale dynamic graphs
anomaly-detection-platform
π₯π₯π₯π₯π§π₯π₯ A Data Platform for Monitoring and Detecting Anomalies in Real-Time.
awesome-temporal-graphs
A collection of resources on dynamic/streaming/temporal/evolving graph processing systems, databases, data structures, datasets, and related academic and industrial work