6084 Open source projects that are alternatives of or similar to Machine Learning

I will update this repository to learn Machine learning with python with statistics content and materials

My blogs and code for machine learning. http://cnblogs.com/pinard

Machine Learning Lectures at the European Space Agency (ESA) in 2018

建立你的算法地图：如何高效学习算法；算法工程师：从小白到专家

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

All For NLP, especially Chinese.

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

Multiple implementations for abstractive text summurization , using google colab

tensorflow implementation of Grad-CAM (CNN visualization)

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

记录我学习数据挖掘过程的笔记和见到的奇技，持续更新～

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Compilation of R and Python programming codes on the Data Professor YouTube channel.

MTCNN with Motion Detection, on Raspberry Pi with Love

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.

A beginner-friendly project to help you in open-source contributions. Data Structures & Algorithms in various programming languages Please leave a star ⭐ to support this project! ✨

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

Tensorflow相关教程

How to do Real Time Trigger Word Detection with Keras | DLology

Sequential regulatory activity predictions with deep convolutional neural networks.

Center Loss implementation with TensorFlow

Deep Learning Application Examples

This tutorial's purpose is to introduce people to the [2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository by Johns Hopkins CSSE](https://github.com/CSSEGISandData/COVID-19) and how to explore it using some foundational packages in the Scientific Python Data Science stack.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

Deep Learning Specialization courses by Andrew Ng, deeplearning.ai

Jupyter Notebooks used on my DataScience projects

Exercises and supplementary material for the deep learning course 02456 using PyTorch.

Variational Autoencoder for Dimensionality Reduction of Time-Series

One-shot Learning and deep face recognition notebooks and workshop materials

Accompanying code for the Medium article

Quickly ingest messy CSV and XLS files. Export to clean pandas, SQL, parquet

Anomaly detection tutorial on univariate time series with an auto-encoder

🧪 📗 Unit test your Jupyter Notebooks the right way

Corner Proposal Network for Anchor-free, Two-stage Object Detection

공공데이터 분석

A Colab For Bug Hunting!

Deep Learning tutorials in jupyter notebooks.

The Annotated Encoder Decoder with Attention

Chess reinforcement learning by AlphaGo Zero methods.

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

🌎 machine learning tutorials (mainly in Python3)

Referring Expression Datasets API

A colab that implements the Symplectic Gradient Adjustment optimizer from "The mechanics of n-player differentiable games"

A real time optical flow algorithm implemented on GPU

Segmentation-Aware Convolutional Networks Using Local Attention Masks

This is a repository about PCB defect detection.

Python/Jupyter notebooks for Volume 1 of "Deep Learning - From Basics to Practice" by Andrew Glassner

Tel-Aviv Deep Learning Boot-camp: 12 Applied Deep Learning Labs

Animated GIF patterns made in Python Matplotlib.

Office Automation by Using Pythonf (For Excel, Word, PPT and PDF .....)