368 Open source projects that are alternatives of or similar to model-deployment-flask

Samples for NimbusML, a Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

Serving TensorFlow models with TensorFlow Serving 📙

Predicting Profitable Day Trading Positions using Decision Tree Classifiers. scikit-learn | Flask | SQLite3 | pandas | MLflow | Heroku | Streamlit

NYC scikit-learn sprint (Sep 2018)

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

Conversational text Analysis using various NLP techniques

Collection of scripts and tools related to machine learning

machine_learning_examples

🦅Hyperparameter optimization for machine learning pipelines 🦅

Titanic assignment on Kaggle competition

Quora Kaggle Competition : Natural Language Processing using word2vec embeddings, scikit-learn and xgboost for training

به فارسی، برای مشارکت scikit-learn

A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros.

Machine Learning Course @ Santa Clara University

My dataquest project solutions

Material for the MASH course on introduction to scikit-learn

Machine Learning Operator & Controller for Kubernetes

핸즈온 머신러닝 2/E의 주피터 노트북

Predicting the winner of 2019 cricket world cup using random forest algorithm

Fast Best-Subset Selection Library

A python package to assess cluster tendency

My workshop on machine learning using python language to implement different algorithms

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

A Streamlit application to play with machine learning models directly from the browser

An introductory tutorial about leveraging Ray core features for distributed patterns.

Dockerize and deploy machine learning model as REST API using Flask

Our package scikit-activeml is a Python library for active learning on top of SciPy and scikit-learn.

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

📃🎉 Additional datasets for tensorflow.keras

Simple and Distributed Machine Learning

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Tool for visualizing and empirically analyzing information encoded in binary files

An implementation of multivariate projection pursuit regression and univariate classification

A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

NLP in python Vector Space Modelling and document classification NLP

Machine learning toolkits with Python

Text processing library for sentiment analysis and related tasks

Multi-digit prediction from Google Street's images using deep CNN with TensorFlow, OpenCV and Python.

Adversarial Discriminative Domain Adaptation in Chainer

a python interface to OC1 and other oblique decision tree implementations

Python Machine Learning Algorithms

Solution of the Titanic Kaggle competition

A collection of online books for data science, computer science and coding!

A Python 3 framework for Reservoir Computing with a scikit-learn-compatible API.

🤖 A machine learning framework for audio, text, image, video, or .CSV files (50+ featurizers and 15+ model trainers).

Predicting Google’s stock price using regression

⭐ An anomaly-based intrusion detection system.

Machine Learning in .NET Core.

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

Using machine learning libraries to analyze NBA data

Nature-inspired algorithms for hyper-parameter tuning of Scikit-Learn models.

DoubleML - Double Machine Learning in Python

关注AI模型上线、模型部署

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

explainy is a Python library for generating machine learning model explanations for humans

Object detector from HOG + Linear SVM framework

This project will pull past game data from api-football, and use these statistics to predict the outcome of future premier league matches through machine learning.