gretelai / GAN-location-generator
Use FastCUT with public map images and location data from a few cities to generate realistic synthetic location data for any city in the world. Based on https://taesung.me/ContrastiveUnpairedTranslation/
β23Updated 3 years ago
Alternatives and similar repositories for GAN-location-generator:
Users that are interested in GAN-location-generator are comparing it to the libraries listed below
- Simple interface to synthesize complex and highly dimensional datasets using Gretel APIs.β29Updated 3 weeks ago
- Public blueprints for data use casesβ74Updated this week
- π A curated list of resources dedicated to synthetic dataβ127Updated 2 years ago
- The Gretel Python Client allows you to interact with the Gretel REST API.β54Updated this week
- Generative models to automatically anonymize data to meet GDPR & CCPA standards.β31Updated 2 years ago
- Table detection with Florence.β13Updated 8 months ago
- Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlibβ19Updated 3 years ago
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.β30Updated 2 years ago
- Drift detection module for machine learning pipelines.β21Updated last year
- Where Gretel published notebooks and code for blog postsβ19Updated last year
- β18Updated last month
- β30Updated 3 years ago
- Command Line Interface for Hugging Face Inference Endpointsβ66Updated 11 months ago
- Framework for building and maintaining self-updating prompts for LLMsβ61Updated 9 months ago
- Public repository holding examples for dataheroes libraryβ22Updated 4 months ago
- MirrorDataGenerator is a python tool that generates synthetic data based on user-specified causal relations among features in the data. Iβ¦β21Updated 2 years ago
- A library of Reversible Data Transformsβ124Updated this week
- Metrics to evaluate quality and efficacy of synthetic datasets.β228Updated this week
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to productionβ¦β29Updated last year
- pyCANON is a Python library and CLI to assess the values of the parameters associated with the most common privacy-preserving techniques.β35Updated this week
- β18Updated last year
- MinHash implementation in Pythonβ11Updated 7 months ago
- Examples of using Evidently to evaluate, test and monitor ML models.β22Updated 3 weeks ago
- π€ Trade any tensors over the networkβ30Updated last year
- Synthetic data generators for structured and unstructured text, featuring differentially private learning.β619Updated 2 weeks ago
- β37Updated last year
- Code for paper: "Privately generating tabular data using language models".β15Updated last year
- Template-based generation of DAG cards from Metaflow classes, inspired by Google cards for machine learning models.β30Updated 3 years ago
- A public repo that contains integrations for Argilla and LlamaIndex.β13Updated 5 months ago
- π€ Disaggregators: Curated data labelers for in-depth analysis.β65Updated 2 years ago