5975 Open source projects that are alternatives of or similar to Coursera Machine Learning

This is Andrew NG Coursera Handwritten Notes.

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

Some work of Andrew Ng's course on Coursera

该存储库包含由deeplearning.ai提供的相关课程的个人的笔记和实现代码。

PyTorch implementation of the CortexNet predictive model

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

computer vision learning, include python machine learning action; computer vision based on deep learning ;coursera deeplearning.ai and other cv learning materials collect ...

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Pyncov-19: Learn and predict the spread of COVID-19

A Julia machine learning framework

🍟 Stanford CS229: Machine Learning

Surrogate Modeling Toolbox

SF Brigade's Data Science Working Group.

🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford

深度学习笔记

Training PyTorch models with differential privacy

Exercise notebooks for Machine Learning modules on Microsoft Learn

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

Cloud Native Presentation Slides with Jupyter Notebook + Reveal.js

Coding assistance for JupyterLab (code navigation + hover suggestions + linters + autocompletion + rename) using Language Server Protocol

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.

Markdown <=> IPython Notebook

Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Deep Learning Specialization by Andrew Ng on Coursera.

3D U-Net model for volumetric semantic segmentation written in pytorch

Introduction to Statistics using Python

35岁程序员退路之量化投资学习笔记

List of papers, code and experiments using deep learning for time series forecasting

Efficient neural feature detector and descriptor

Bayesian Data Analysis demos for Python

TensorFlow implementation of an arbitrary order Factorization Machine

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

Lecture notes and code for Machine Learning practical course on CMC MSU

Repository for the free online book Machine Learning from Scratch (link below!)

Image restoration with neural networks but without learning.

This repository contains implementations and illustrative code to accompany DeepMind publications

Multi-user server for Jupyter notebooks

Project for Digital Image Processing

《深入浅出图神经网络：GNN原理解析》配套代码

Data Augmentation For Object Detection

moDel Agnostic Language for Exploration and eXplanation

The "Python Machine Learning (2nd edition)" book code repository and info resource

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

记录Learning from data一书中的习题解答

鉴于我没有时间继续写这个东西，这个项目暂时废止

Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.

Quiz & Assignment of Coursera

Code for finetuning AlexNet in TensorFlow >= 1.2rc0

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

A small C++ implementation of LSTM networks, focused on OCR.

Contains high quality implementations of Deep Reinforcement Learning algorithms written in PyTorch

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping

An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!

Evolution Strategies Tool