daeIy's Stars
stefan-jansen/machine-learning-for-trading
Code for Machine Learning for Algorithmic Trading, 2nd edition.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
safe-graph/graph-fraud-detection-papers
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
aws-samples/amazon-neptune-samples
Samples and documentation for using the Amazon Neptune graph database service
tinkerpop/gremlin
A Graph Traversal Language (no longer active - see Apache TinkerPop)
krlawrence/graph
Practical Gremlin - An Apache TinkerPop Tutorial
aws/graph-notebook
Library extending Jupyter notebooks to integrate with Apache TinkerPop, openCypher, and RDF SPARQL.
yzhao062/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
ngoix/EMMV_benchmarks
zedr/clean-code-python
:bathtub: Clean Code concepts adapted for Python
plotly/dash-sample-apps
Open-source demos hosted on Dash Gallery
binance/binance-spot-api-docs
Official Documentation for the Binance Spot APIs and Streams
guillermo-navas-palencia/optbinning
Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.
auroua/InsightFace_TF
Insight Face on TensorFlow
nmonarizqa/weekly-viz
har07/PySastrawi
Indonesian stemmer. Python port of PHP Sastrawi project.
selva86/datasets
A collection of datasets of ML problem solving
Apress/machine-learning-with-pyspark
Source Code for 'Machine Learning with PySpark' by Pramod Singh
FTiniNadhirah/Datacamp-Machine-Learning-with-Apache-Spark-2019
This is about learning Machine Learning with Apache Spark 2019 courses in DataCamp. All the answers given written by myself
brainy749/CreditRiskPaper
Codes for replication and implementation of techniques in our credit risk article
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
bgweber/StartupDataScience
softwareunderground/awesome-open-geoscience
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome