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

12 Weeks, 24 Lessons, AI for All!

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The fastai deep learning library

Your new Mentor for Data Science E-Learning.

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

wtfpython的中文翻译/持续🚧.../ 能力有限，欢迎帮我改进翻译

The "Python Machine Learning (1st edition)" book code repository and info resource

数据科学的笔记以及资料搜集

Understanding Deep Learning - Simon J.D. Prince

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

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Tigramite is a python package for causal inference with a focus on time series data. The Tigramite documentation is at

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Sionna: An Open-Source Library for Research on Communication Systems

GNU Radio decoder for Amateur satellites

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

本教程独立网站已上线

Teaching material for wireless communications

ClearMap 2 with WobblyStitcher, TubeMap and CellMap

This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.

Classifying ADHD fMRI data with a CNN+LSTM Model

All the scripts and notebooks used for the project on Non-invasive Deep Brain Stimulation

Projects of Advanced Machine Learning, ETH Zürich, Fall 2018