Alternatives and similar repositories for Art044_NN_LSTM

Users that are interested in Art044_NN_LSTM are comparing it to the libraries listed below

• Frightera / Medium_Notebooks_English
  This repo contains the notebooks that is used in Medium posts.
  ☆24Updated 3 years ago
• npogeant / flight-delay
  A Machine Learning Pipeline built with MLflow, Prefect, BentoML, Streamlit and Evidently.
  ☆27Updated 3 years ago
• druce / iowa
  Iowa House Prices Kaggle (top 5%)
  ☆13Updated last year
• kennethleungty / Principal-Component-Regression
  Principal Component Regression - Clearly Explained and Implemented
  ☆12Updated 3 years ago
• gkunapuli / ensemble-methods-notebooks
  A collection of companion Jupyter notebooks for Ensemble Methods for Machine Learning (Manning, 2023)
  ☆90Updated 2 years ago
• smazzanti / are_you_still_using_elbow_method
  ☆150Updated 2 years ago
• h3ik0th / ES_energy_Transformer
  Python Darts deep forecasting models
  ☆34Updated 3 years ago
• TNanukem / paper_implementations
  This repository holds my paper implementations made for my studies and my content production
  ☆35Updated 10 months ago
• NextBrain-ai / nbsynthetic
  nbsynthetic is simple and robust tabular synthetic data generation library for small and medium size datasets
  ☆68Updated 2 years ago
• vinyluis / Articles
  References to the Medium articles
  ☆87Updated 2 years ago
• KishManani / PyDataLondon2022
  Slides for "Feature engineering for time series forecasting" talk
  ☆61Updated 2 years ago
• ahmedbesbes / mlflow
  Introduction to MLflow with a demo locally and how to set it on AWS
  ☆42Updated 4 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 4 years ago
• Marcussena / ML-and-Ai-from-scratch
  Python implementation of machine learning and Ai algorithms from scratch
  ☆11Updated 6 months 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
  ☆102Updated 2 years ago
• kennethleungty / End-to-End-AutoML-Insurance
  An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell
  ☆78Updated 3 years ago
• conorosully / medium-articles
  Code used to obtain results for my medium articles
  ☆75Updated 2 years ago
• better-data-science / TensorFlow
  ☆54Updated 3 years ago
• PacktPublishing / Machine-Learning-for-Streaming-Data-with-Python
  Machine Learning for Streaming Data with Python, published by Packt
  ☆72Updated last year
• AssemblyAI-Community / ml-fastapi-docker-heroku
  Deploy ML models with FastAPI, Docker, and Heroku
  ☆87Updated 3 years ago
• dataman-git / codes_for_articles
  ☆180Updated 3 months 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
• aws-samples / churn-prediction-with-text-and-interpretability
  Predict customer churn with text and interpretability.
  ☆12Updated 3 years ago
• vaexio / dash-predictive-maintenance-app
  Dash web app showing when an engine is expected to fail powered by vaex and tf/keras.
  ☆18Updated 3 years ago
• derevirn / pycaret-book
  Repository for the book Simplifying Machine Learning with PyCaret.
  ☆66Updated 2 years ago
• kurtispykes / twitter-sentiment-analysis
  Creating a Gradio user interface to predict the sentiment of a tweet
  ☆12Updated 3 years ago
• IvanReznikov / bk_clustering
  Burj Khalifa Clustering method
  ☆53Updated 2 years ago
• peterbbryan / fourier-sketcher
  Fourier based drawing script
  ☆16Updated 3 years ago
• suvoooo / Learn-TensorFlow
  Learning Tensorflow Step by Step:: Concepts, Examples & Applications
  ☆57Updated 2 months ago
• khuyentran1401 / cicd-mlops-demo
  Demo for CI/CD in a machine learning project
  ☆112Updated 2 years ago