Alternatives and similar repositories for Main

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

• VincentGranville / Statistical-Optimization
  Statistical optimization for AI and machine learning
  ☆61Updated 10 months ago
• VincentGranville / Stochastic-Processes
  My book: Gentle Introduction to Chaotic Dynamical Systems. Includes stochastic dynamical systems and statistical properties of numeratio…
  ☆46Updated 9 months ago
• VincentGranville / Machine-Learning
  Material related to my book Intuitive Machine Learning. Some of this material is also featured in my new book Synthetic Data and Generati…
  ☆123Updated 4 months ago
• VincentGranville / Point-Processes
  This repository contains the material (datasets, code, videos, spreadsheets) related to my book Stochastic Processes and Simulations - A …
  ☆52Updated 3 years 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
  ☆103Updated 2 years ago
• VincentGranville / Notebooks
  Includes material (code + description) that I turned into notebooks
  ☆51Updated 2 years ago
• VincentGranville / Visualizations
  Visualizations for machine learning, high dimensional data, including creation of MP4 videos and animated Gifs in Python.
  ☆32Updated 2 years ago
• marcopeix / TimeSeriesForecastingUsingFoundationModels
  Official repository for the book Time Series Forecasting with Foundation Models
  ☆27Updated last week
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• daddydrac / Deep-Learning-Ultra
  Open source Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in PyTorch, OpenCV (compiled for G…
  ☆86Updated last year
• Paulescu / real-time-ohlc-with-bytewax
  Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit
  ☆129Updated last year
• PacktPublishing / Mastering-NLP-from-Foundations-to-LLMs
  Mastering NLP from Foundations to LLMs, Published by Packt
  ☆114Updated last week
• PacktPublishing / Interpretable-Machine-Learning-with-Python-2E
  Interpretable ML with Python, 2E - published by Packt
  ☆102Updated last month
• lmassaron / Machine-Learning-on-Tabular-Data
  Code for the new Manning book on machine learning on tabular datasets
  ☆55Updated 8 months ago
• zaai-ai / lab
  ☆80Updated last month
• PacktPublishing / Python-Feature-Engineering-Cookbook-Third-Edition
  Python Feature Engineering Cookbook, Third Edition, published by Packt
  ☆63Updated last month
• donlapark / coverforest
  A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.
  ☆45Updated 2 months ago
• PacktPublishing / Building-Natural-Language-Pipelines
  Building RAG Applications with Haystack 2.0 published by Packt
  ☆17Updated 8 months ago
• dataman-git / Handbook-of-anomaly-detection
  ☆19Updated 2 weeks ago
• ysraell / forecasting
  Forecasting: Principles and Practice
  ☆61Updated 4 years ago
• chiphuyen / machine-learning-book
  Code Repository for Machine Learning with PyTorch and Scikit-Learn
  ☆41Updated 3 years ago
• Paulescu / testing-llms-in-the-real-world
  Test LLMs automatically with Giskard and CI/CD
  ☆31Updated last year
• mlabonne / graph-datasets
  A list of graph datasets for machine learning projects including Graph Neural Networks.
  ☆24Updated 3 years ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆67Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆62Updated 2 years ago
• alfredodeza / python-bootcamp-duke
  Official syllabus for AIPI 503 - Python Bootcamp for Data and AI
  ☆50Updated last year
• Paulescu / local-coding-assistant
  Coding assistant you can use for free on your machine
  ☆27Updated 9 months ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆134Updated 2 years ago
• numfocus / YouTubeVideoTimestamps
  Adding timestamps to NumFOCUS and PyData YouTube videos!
  ☆99Updated 3 years ago
• ashishpatel26 / LLM-Engineering-Crash-Course
  LLM Engineering CrashCourse
  ☆101Updated last year