3396 Open source projects that are alternatives of or similar to Artificial Intelligence Deep Learning Machine Learning Tutorials

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

My dataquest project solutions

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

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

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

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

Facial Expression Recognition

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Open Machine Learning Course

Alpine Container for Machine Learning

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

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

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

Kaggle Struggle

Association Rule Mining from Spatial Data for Crime Analysis

Algorithmic trading using machine learning.

Carefully curated resource links for data science in one place

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

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

All the slides, accompanying code and exercises all stored in this repo. 🎈

Code, Notebooks and Examples from Practical Business Python

Dive into Machine Learning with Python Jupyter notebook and scikit-learn! First posted in 2016, maintained as of 2021. Pull requests welcome.

[UNMAINTAINED] Automated machine learning for analytics & production

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Pandas on AWS - Easy integration with Athena, Glue, Redshift, Timestream, QuickSight, Chime, CloudWatchLogs, DynamoDB, EMR, SecretManager, PostgreSQL, MySQL, SQLServer and S3 (Parquet, CSV, JSON and EXCEL).

General Assembly's 2015 Data Science course in Washington, DC

This repository consists of all my Machine Learning Projects.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A constantly updated python machine learning cheatsheet

Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)

Achieve your marketing goals with the data analytics power of Python

CNN image classifier implemented in Keras Notebook 🖼️.

Python Cheat Sheet NumPy, Matplotlib

공공데이터 분석

Be Driven 🚘

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

Using Project Jupyter for data science.

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

📚 Various cheatsheets in PDF

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

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

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Notebook for my medium article about how to use Dataset API in TensorFlow

An Architecture Combining Convolutional Neural Network (CNN) and Linear Support Vector Machine (SVM) for Image Classification

Mypy stubs, i.e., type information, for numpy, pandas and matplotlib

Deep learning codes and projects using Python

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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

A curated list of dedicated resources and applications

A tensorflow implementation with SSD model for person detection and Kalman Filtering combined for tracking

Library for Semi-Automated Data Science

🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

a delightful machine learning tool that allows you to train, test, and use models without writing code