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wpok-google's Stars

• facebookincubator/LTVision

  LTVision is an open-source library from Meta, designed to empower businesses to unlock the full potential of predicted customer lifetime value (pLTV) modeling.

  Language:Python445

• has2k1/plotnine

  A Grammar of Graphics for Python

  Language:Python4.1k229

• google-marketing-solutions/feedx

  Transparent, robust and trustworthy A/B experimentation for Shopping feeds.

  Language:Jupyter Notebook413

• retentioneering/retentioneering-tools

  Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

  Language:Python810124

• networkx/networkx

  Network Analysis in Python

  Language:Python15.2k3.3k

• Mcompetitions/M4-methods

  Data, Benchmarks, and methods submitted to the M4 forecasting competition

  Language:R753318

• Nixtla/nixtla

  TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's capable of accurately predicting various domains such as retail, electricity, finance, and IoT with just a few lines of code 🚀.

  Language:Jupyter Notebook2.4k201

• SalesforceAIResearch/uni2ts

  Unified Training of Universal Time Series Forecasting Transformers

  Language:Jupyter Notebook972111

• msuzen/looper

  A resource list for causality in statistics, data science and physics

  25734

• google-marketing-solutions/ga4_dataform

  Language:JavaScript12642

• google-research/timesfm

  TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

  Language:Python4k343

• meta-llama/llama3

  The official Meta Llama 3 GitHub site

  Language:Python27.8k3.2k

• ibm-granite/granite-tsfm

  Foundation Models for Time Series

  Language:Jupyter Notebook462191

• google-marketing-solutions/fractional_uplift

  A flexible python package for cost-aware uplift modelling.

  Language:Python284

• googleapis/python-bigquery-pandas

  Google BigQuery connector for pandas

  Language:Python451122

• posit-dev/great-tables

  Make awesome display tables using Python.

  Language:Python2k73

• amazon-science/chronos-forecasting

  Chronos: Pretrained Models for Probabilistic Time Series Forecasting

  Language:Python2.8k311

• google-marketing-solutions/optimus

  Language:Python171

• google-marketing-solutions/Tightlock

  Language:Python3715

• google/generative-ai-docs

  Documentation for Google's Gen AI site - including the Gemini API and Gemma

  Language:Jupyter Notebook1.8k641

• ilhansevval/Gemini-Chatbot-Interface-with-Streamlit

  This project is a Streamlit-based chat application that interacts with the Gemini AI model, allowing users to engage in conversations with an artificial intelligence assistant. The application stores chat history, allowing users to revisit and continue previous conversations.

  Language:Python5627

• google-deepmind/gemma

  Open weights LLM from Google DeepMind.

  Language:Python2.5k326

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python36.5k3.2k

• google-marketing-solutions/description_genius

  Easily generate captivating product descriptions using product features and additional sources of information like customer reviews or usage instructions.

  Language:Python378

• google-marketing-solutions/causmos

  Language:HTML152

• nicolasfauchereau/Auckland_Cycling

  An analysis of cycling counts in Auckland in relation to the weather

  Language:Jupyter Notebook8956

• patcg-individual-drafts/topics

  The Topics API

  Language:Bikeshed643263

• matheusfacure/causal-inference-in-python-code

  Code for the Book Causal Inference in Python

  Language:Jupyter Notebook274122

• process-intelligence-solutions/pm4py

  Public repository for the PM4Py (Process Mining for Python) project.

  Language:Python754295

• deepset-ai/haystack-tutorials

  Here you can find all the Tutorials for Haystack 📓

  Language:Jupyter Notebook29299