gretelai / public_research

Related projects: ⓘ

• 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 …
  ☆22Updated 2 years ago
• gretelai / awesome-synthetic-data
  📖 A curated list of resources dedicated to synthetic data
  ☆115Updated 2 years ago
• gretelai / gretel-blueprints
  Public blueprints for data use cases
  ☆71Updated last week
• gretelai / gretel-python-client
  The Gretel Python Client allows you to interact with the Gretel REST API.
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• gretelai / trainer
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• stanford-futuredata / omg
  ☆20Updated last year
• microsoft / augmented-interpretable-models
  Interpretable and efficient predictors using pre-trained language models. Scikit-learn compatible.
  ☆37Updated 5 months ago
• py-why / pywhy-llm
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• facebookarchive / fronni
  machine learning model performance metrics & charts with confidence intervals, optimized with numba to be fast
  ☆16Updated 2 years ago
• DerwenAI / textgraphs
  TextGraphs + LLMs + graph ML for entity extraction, linking, ranking, and constructing a lemma graph
  ☆17Updated 6 months ago
• causalgraph / causalgraph
  A python package for modeling, persisting and visualizing causal graphs embedded in knowledge graphs.
  ☆45Updated 9 months ago
• interpretml / TalkToEBM
  A Natural Language Interface to Explainable Boosting Machines
  ☆59Updated 2 months ago
• interpretml / LLM-Tabular-Memorization-Checker
  Testing Language Models for Memorization of Tabular Datasets.
  ☆26Updated last week
• causalens / cai-causal-graph
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• DataResponsibly / MirrorDataGenerator
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  ☆18Updated 2 years ago
• facebookresearch / synlm
  Code for paper: "Privately generating tabular data using language models".
  ☆14Updated last year
• jpmorganchase / topical
  ☆19Updated 4 months ago
• AlexIoannides / llm-regression
  Exploring the classical regression capabilities of LLMs.
  ☆16Updated 4 months ago
• helliun / causal-chains
  Library for creating causal chains using language models.
  ☆75Updated last year
• joofio / awesome-data-synthesis
  A curated list of awesome resources for creating synthetic data
  ☆37Updated 2 years ago
• microsoft / mothernet
  Mothernet: A Foundational Hypernetwork for Tabular Classification
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• Nixtla / coreforecast
  Fast implementations of common forecasting routines
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• RifleZhang / CORD_CPD
  Correlation-aware Change-point Detection via Graph Neural Networks
  ☆15Updated 3 years ago
• amit-sharma / chatgpt-causality-pairs
  Solving the causality pairs challenge (does A cause B) with ChatGPT
  ☆73Updated 3 months ago
• google / nitroml
  NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (Au…
  ☆41Updated 3 years ago
• ml-tue / automated-string-cleaning
  Repository for my master thesis on automated string handling
  ☆16Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆46Updated 4 months ago
• mengchillee / AutoAudit
  Code for paper "AutoAudit: Mining Accounting and Time-Evolving Graphs" (Big Data 2020)
  ☆15Updated last year
• FINRAOS / model-validation-toolkit
  Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…
  ☆29Updated 9 months ago