Alternatives and similar repositories for charts

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

• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆44Updated 4 months ago
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆65Updated 2 weeks ago
• KishManani / m5-forecasting-tutorial
  An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.
  ☆20Updated 2 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆73Updated 2 weeks ago
• ml-for-high-risk-apps-book / Machine-Learning-for-High-Risk-Applications-Book
  Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications
  ☆104Updated 2 years ago
• Paulescu / real-time-technical-indicators
  Learn to build a modular real-time feature pipeline, so you avoid Offline-Online Feature Skew, and your deployed ML models work as expect…
  ☆45Updated last year
• ElizaLo / Time-Series
  Awesome list and projects of Time Series
  ☆30Updated 2 years ago
• Paulescu / bytewax-hopsworks-example
  Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)
  ☆146Updated 2 years ago
• VincentGranville / Main
  Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several f…
  ☆99Updated last year
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆27Updated 3 years ago
• joaopcnogueira / ts2ml
  Tools to Transform a Time Series into Features and Target a.k.a Supervised Learning
  ☆108Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆64Updated 3 years ago
• realmistic / economics-workshop-dec-2024
  ☆51Updated 2 months ago
• pcrespoo / data-engineering-bootcamp
  This repo contains all the material developed during the 9-week bootcamp provided by DPhi in colaboration with DataTalks Club
  ☆22Updated 3 years ago
• kennethleungty / Finance-LLMs
  Comprehensive Compilation of Real-World LLM Implementation in Financial Services
  ☆58Updated 2 months ago
• Paulescu / incremental-ml-training-and-serving
  Incremental ML learning in the real-world
  ☆70Updated 9 months ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• gslicht / Using_NLP_to_Predict_Almost_Bankruptcy
  ☆12Updated 5 years ago
• MLDreamer / Linkedin-posts
  ☆24Updated 3 months ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆27Updated 2 years ago
• marcopeix / AppliedTimeSeriesForecastingInPython
  Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python
  ☆62Updated 5 months ago
• khuyentran1401 / customer_segmentation
  An end-to-end project on customer segmentation
  ☆83Updated 3 years ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆45Updated 2 weeks ago
• mlops-discord / dmls-bookclub
  ☆77Updated last year
• PacktPublishing / Modern-Time-Series-Forecasting-with-Python-2E
  Modern Time Series Forecasting with Python 2E, Published by Packt
  ☆185Updated 2 weeks ago
• erno98 / ID2223
  ☆24Updated 2 years ago
• VincentGranville / Statistical-Optimization
  Statistical optimization for AI and machine learning
  ☆61Updated last year
• RodGuarneros / streaming_data_dashboard_retail
  ☆10Updated last year
• tblume1992 / MFLES
  ☆115Updated last year