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

基于情感字典和机器学习的股市舆情情感分类可视化Web

A high-performance topological machine learning toolbox in Python

Tool for visualizing and empirically analyzing information encoded in binary files

A Sklearn-like Framework for Hyperparameter Tuning and AutoML in Deep Learning projects. Finally have the right abstractions and design patterns to properly do AutoML. Let your pipeline steps have hyperparameter spaces. Enable checkpoints to cut duplicate calculations. Go from research to production environment easily.

Hummingbird compiles trained ML models into tensor computation for faster inference.

Fit interpretable models. Explain blackbox machine learning.

BentoML Example Projects 🎨

A fast, robust Python library to check for offensive language in strings.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, C++ and more.

An implementation of multivariate projection pursuit regression and univariate classification

ADAM - A Question Answering System. Inspired from IBM Watson

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

Predict materials properties using only the composition information!

機器學習: Python

An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.

Visual analysis and diagnostic tools to facilitate machine learning model selection.

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

Jupyter notebooks from the scikit-learn video series

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Fast and memory-efficient clustering

Stanford Machine Learning course exercises implemented with scikit-learn

NLP in python Vector Space Modelling and document classification NLP

Flask API for training and predicting using scikit learn models

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

Distributed scikit-learn meta-estimators in PySpark

A Python package for fitting Quinlan's Cubist regression model

A python library for decision tree visualization and model interpretation.

a sklearn wrapper for Google's BERT model

Comparing Different Clustering Methods and Similarity Metrics on Trajectory Datasets

Machine learning toolkits with Python

Awesome Domain Adaptation Python Toolbox

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Python analytics made easy - an open source DataOps, MLOps platform for humans

Automatic machine learning for tabular data. ⚡🔥⚡

Docker Start Guide with Python Development Environment

The "Python Machine Learning (3rd edition)" book code repository

Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.

Text processing library for sentiment analysis and related tasks

Automated machine learning (AutoML) with grammar-based genetic programming

Stacked Generalization (Ensemble Learning)

A collection of awesome scripts from developers around the globe.

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

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SciKIt-learn Pipeline in PAndas

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

Machine Learning inference engine for Microcontrollers and Embedded devices

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.

A gentle introduction to machine learning: data handling, linear regression, naive bayes, clustering

Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM W…

An Interactive Approach to Understanding Deep Learning with Keras