rapidsai / clx
A collection of RAPIDS examples for security analysts, data scientists, and engineers to quickly get started applying RAPIDS and GPU acceleration to real-world cybersecurity use cases.
☆172Updated last year
Alternatives and similar repositories for clx:
Users that are interested in clx are comparing it to the libraries listed below
- ☆30Updated 4 years ago
- A collection of Machine Learning examples to get started with deploying RAPIDS in the Cloud☆140Updated 4 months ago
- Morpheus SDK☆443Updated this week
- [ARCHIVED] Dask support for distributed GDF object --> Moved to cudf☆136Updated 5 years ago
- RAPIDS Sample Notebooks☆578Updated last year
- RAPIDS Community Notebooks☆530Updated last month
- http://rapids.ai☆21Updated 5 years ago
- GPU accelerated cross filtering with cuDF.☆286Updated last week
- Distribution transparent Machine Learning experiments on Apache Spark☆90Updated last year
- big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.☆65Updated 4 years ago
- Instant search for and access to many datasets in Pyspark.☆34Updated 2 years ago
- Lambda Learner is a library for iterative incremental training of a class of supervised machine learning models.☆42Updated last year
- Tabular feature encoding pipelines for machine learning with options for string parsing, missing data infill, and stochastic perturbation…☆164Updated last month
- Practical examples of "Flawed Machine Learning Security" together with ML Security best practice across the end to end stages of the mach…☆105Updated 2 years ago
- Predict whether internet traffic is malicious given historical router traffic data☆35Updated 4 years ago
- Utilities for Dask and CUDA interactions☆301Updated last week
- State of vulnerabilties report☆10Updated 5 years ago
- A JupyterLab extension for displaying dashboards of GPU usage.☆632Updated last week
- Python implementation of the LZJD algorithm☆30Updated last month
- Coarse-grained lineage and tracing for machine learning pipelines.☆467Updated 2 years ago
- A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.☆102Updated 3 years ago
- This repo accompanies the FF22 research cycle focused on unsupervised methods for detecting concept drift☆29Updated 3 years ago
- RAPIDS - combined conda package & integration tests for all of RAPIDS libraries☆16Updated last week
- MLOps pipeline for NVIDIA Merlin on GKE☆41Updated 3 years ago
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆105Updated last year
- The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning wo…☆169Updated last year
- Taxonomies used in MISP taxonomy system and can be used by other information sharing tool.☆270Updated 2 weeks ago
- Abstractions for feature engineering on large graphs of tabular data.☆21Updated this week
- Open Source Threat Intelligence Platform☆150Updated last year
- Dockerfile templates for creating RAPIDS Docker Images☆74Updated last week