TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

Learn how to design, develop, deploy and iterate on production-grade ML applications.

《统计学习方法》的代码实现

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

PRML algorithms implemented in Python

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Build your neural network easy and fast, 莫烦Python中文教学

Notebooks and code for the book "Introduction to Machine Learning with Python"

Notes about courses Dive into Deep Learning by Mu Li

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

机器学习算法的公式推导以及numpy实现

该资源为作者在CSDN的撰写Python图像处理文章的支撑，主要是Python实现图像处理、图像识别、图像分类等算法代码实现，希望该资源对您有所帮助，一起加油。

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Sentiment Analysis with LSTMs in Tensorflow

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2021 Spring

sEMG-based gesture recognition using deep learnig

Data Science Feature Engineering and Selection Tutorials

吴恩达深度学习课程课后编程作业

Reinforcement Learning for Spiking Neural Networks

Implementation of surface EMG decomposition as proposed on Francesco Negro et al 2016 J. Neural Eng. 13 026027.

Convolutional 3D Spiking Neural Network to classify videos

记录自己学习Deep Learning的笔记和代码

Using supervised learning (Vision Transformer) to decompose HD-sEMG