A curated list of awesome Machine Learning frameworks, libraries and software.

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos ma…

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.

Python Implementation of Reinforcement Learning: An Introduction

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Minimal and clean examples of machine learning algorithms implementations

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

A toolbox to iNNvestigate neural networks' predictions!

Online resources for Python Crash Course, 3rd edition, from No Starch Press.

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for…

CVPR 2023-2024 Papers: Dive into advanced research presented at the leading computer vision conference. Keep up to date with the latest developments in computer vision and deep learning. Code inclu…

ICASSP 2023-2024 Papers: A complete collection of influential and exciting research papers from the ICASSP 2023-24 conferences. Explore the latest advancements in acoustics, speech and signal proce…

MetaBCI: China’s first open-source platform for non-invasive brain computer interface. The project of MetaBCI is led by Prof. Minpeng Xu from Tianjin University, China.

A curated list of all machine learning algorithms and deep learning algorithms grouped by category.

Ensemble learning related books, papers, videos, and toolboxes

Sparse and structured neural attention mechanisms

Toolbox for normative modelling and spatial inference of neuroimaging data. https://pcntoolkit.readthedocs.io/en/latest/

Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.

Attention-Based Guided Structured Sparsity of Deep Neural Networks

Functions for quantifying multivariate synchrony

[NeurIPS2022] Where to Pay Attention in Sparse Training for Feature Selection?

TDBRAIN EEG Database pre-processing code