396 Open source projects that are alternatives of or similar to Jarvis

Open Machine Learning Course

Simple chatbot in Python using NLTK and scikit-learn

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

💘🍦🙈 残梦a博客园样式,本博客的样式一直在更新中,还会不断优化页面的加载速度,坚持每周都会更新自己的博客内容,坚持自己选择计算机的道路 -> https://www.cnblogs.com/sunhang32

Genetic Programming in Python, with a scikit-learn inspired API

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Alpine Container for Machine Learning

Disease Prediction based on Symptoms.

Predicting Future Influenza Virus Sequences with Machine Learning

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automatic paper clustering and search tool by fastext from Facebook Research

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

🎓 Jupyter notebooks from UFC data science course

Computer vision sabbatical study materials

A collection of Machine Learning algorithms written from sctrach.

Predicting forex binary options using time series data and machine learning

A series of self-correcting challenges for practicing your Machine Learning and Deep Learning skills

🧙 A web app to generate template code for machine learning

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

📝Rich Text / WYSIWYG Editor built for Modularity and Extensibility.

Repository for the ICON 2017 hackathon 'multivoxel pattern analysis (MVPA) of fMRI data in Python'

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

Using python and scikit-learn to make stock predictions

A package for data science practitioners. This library implements a number of helpful, common data transformations with a scikit-learn friendly interface in an effort to expedite the modeling process.

notebooks with example for machine learning examples

Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

Exercises for hierarchical clustering with Python 3 and scipy as Jupyter Notebooks

Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Generate a markdown TOC (table of contents) for a README or any markdown files, using remarkable. Used by assemble, verb, and lots of other projects on GitHub. API and CLI.

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Carefully curated resource links for data science in one place

A collection of notebooks of my Machine Learning class written in python 3

A repository for recording the machine learning code

An Interactive Approach to Understanding Deep Learning with Keras

Parallel computing with task scheduling

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Materials for the course of machine learning at Imperial College organized by Yandex SDA

brief introduction to Python for machine learning

Code for polyaxon tutorials and examples

🤖⚡️ scikit-learn tips

100 Days of ML Coding

PySpark + Scikit-learn = Sparkit-learn

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

A modular active learning framework for Python

Association Rule Mining from Spatial Data for Crime Analysis

Simple implementation of sar target recognition using machine learning methods

Combines the ease of use of scikit-learn with the power of Theano/Lasagne

Start writing machine learning code in just 10 hours

model-describer : Making machine learning interpretable to humans

(Deprecated) Scikit-learn integration package for Apache Spark

AsyncIO serving for data science models

A docsify.js plugin for rendering tabbed content from markdown

Курс "Введение в машинное обучение" (ВМК, МГУ имени М.В. Ломоносова)

MLeap: Deploy ML Pipelines to Production

50% faster, 50% less RAM Machine Learning. Numba rewritten Sklearn. SVD, NNMF, PCA, LinearReg, RidgeReg, Randomized, Truncated SVD/PCA, CSR Matrices all 50+% faster

Introduction to Statistical Learning with R을 Python으로

Metric learning algorithms in Python

For extensive instructor led learning