| tflearn/tflearn |
9,602 |
|
481 |
8 |
over 2 years ago |
6 |
November 11, 2020 |
576 |
other |
Python |
| Deep learning library featuring a higher-level API for TensorFlow. |
| haifengl/smile |
5,833 |
|
121 |
35 |
over 2 years ago |
33 |
June 14, 2023 |
12 |
other |
Java |
| Statistical Machine Intelligence & Learning Engine |
| alibaba/GraphScope |
3,530 |
|
0 |
1 |
4 months ago |
452 |
December 09, 2023 |
302 |
apache-2.0 |
C++ |
| 🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统 |
| alandefreitas/matplotplusplus |
3,496 |
|
0 |
0 |
over 2 years ago |
1 |
March 03, 2021 |
46 |
mit |
C++ |
| Matplot++: A C++ Graphics Library for Data Visualization 📊🗾 |
| stellargraph/stellargraph |
2,768 |
|
2 |
6 |
over 2 years ago |
24 |
February 22, 2021 |
318 |
apache-2.0 |
Python |
| StellarGraph - Machine Learning on Graphs |
| safe-graph/graph-fraud-detection-papers |
1,148 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
|
|
| A curated list of graph-based fraud, anomaly, and outlier detection papers & resources |
| litaotao/IPython-Dashboard |
635 |
|
4 |
0 |
over 6 years ago |
6 |
January 01, 2016 |
21 |
gpl-2.0 |
Python |
| A stand alone, light-weight web server for building, sharing graphs created in ipython. Build for data science, data analysis guys. Aiming at building an interactive visualization, collaborated dashboard, and real-time streaming graph. |
| DerwenAI/kglab |
518 |
|
0 |
3 |
over 2 years ago |
27 |
April 20, 2022 |
34 |
mit |
Jupyter Notebook |
| Graph Data Science: an abstraction layer in Python for building knowledge graphs, integrated with popular graph libraries – atop Pandas, NetworkX, RAPIDS, RDFlib, pySHACL, PyVis, morph-kgc, pslpython, pyarrow, etc. |
| safe-graph/DGFraud |
432 |
|
0 |
0 |
almost 4 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| A Deep Graph-based Toolbox for Fraud Detection |
| pykale/pykale |
415 |
|
0 |
0 |
about 2 years ago |
12 |
April 12, 2022 |
9 |
mit |
Python |
| Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work! |
