Alternatives and similar repositories for nvidia_articles

Users that are interested in nvidia_articles are comparing it to the libraries listed below

• Brett-Kennedy / CountsOutlierDetector
  Interpretable, intuitive outlier detector intended for categorical and numeric data.
  ☆12Updated last year
• khuyentran1401 / detect-data-drift-pipeline
  A pipeline to detect data drift and retrain the model when there is drift
  ☆24Updated 2 years ago
• FlorinAndrei / misc
  a catch-all repo
  ☆11Updated last year
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆27Updated 3 months ago
• MLDreamer / Linkedin-posts
  ☆24Updated 2 weeks ago
• gabri-al / sarima_dashboard
  Introducing a Dash web app that guides the analysis of time series datasets, using sARIMA models
  ☆75Updated 2 years ago
• mounalab / Temporal-fusion-transformer_Pytorch-Forecasting
  Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting l…
  ☆22Updated 2 years ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆19Updated 2 years ago
• Valdecy / pyInterDemand
  A python Library for Intermittent Demand Methods: Croston, SBA, SBJ, TSB, HES, LES and SES
  ☆38Updated last year
• grahamharrison68 / Public-Github
  Repository for GH public projects
  ☆18Updated last year
• raz1470 / causal_ai
  This project introduces Causal AI and how it can drive business value.
  ☆51Updated last year
• duzgunilaslan / Deploy-ML-Model-FastAPI-MLFlow-MINIO-MySQL
  This repository about how to deploy machine learning model end serving with FastAPI and using MLFlow-MINIO
  ☆18Updated 2 years ago
• KasperGroesLudvigsen / xgboost_time_series
  How to use XGBoost for multi-step time series forecasting
  ☆40Updated 2 years ago
• dataman-git / Handbook-of-anomaly-detection
  ☆18Updated last year
• Deffro / end-to-end-ML-project
  An end-to-end ML Project
  ☆11Updated 2 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆87Updated 2 years ago
• crewml / crewml
  Open source ML Python package for airline Crew Pairing Optimization
  ☆16Updated 4 years ago
• sujikathir / Intermittent-demand-forecasting
  Predicting the Sales using Time-series forecasting for month-wise data.
  ☆21Updated 4 years ago
• zaai-ai / lab
  ☆80Updated last month
• cetagostini / marketing-science-projects
  Mis proyectos de marketing aplicando AI
  ☆11Updated 2 years ago
• davidthemathman / vae_for_time_series
  Tensorflow implementation of time series generation using a variational autoencoder
  ☆26Updated last year
• vcerqueira / blog
  ☆20Updated last year
• takechanman1228 / Effective-Uplift-Modeling
  ☆23Updated last year
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 2 years ago
• PacktPublishing / XGBoost-for-Regression-Predictive-Modeling-and-Time-Series-Analysis
  XGBoost for Regression Predictive Modeling and Time Series Analysis, published by Packt
  ☆37Updated last month
• ugursavci / Customer_Lifetime_Value_Prediction
  ☆14Updated 3 years ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆65Updated 8 months ago
• zachrenwick / streamlit_forecasting_app
  This MVP data web app uses the Streamlit framework and Facebook's Prophet forecasting package to generate a dynamic forecast from your ow…
  ☆66Updated last year
• manujosephv / deeprenewalprocess
  GluonTS Implementation of Intermittent Demand Forecasting with Deep Renewal Processes arXiv:1911.10416v1 [cs.LG]
  ☆31Updated 3 years ago
• Brett-Kennedy / ikNN
  An interpretable kNN based on aggregating the predictions of multiple 2d spaces.
  ☆13Updated 11 months ago