Make websites accessible for AI agents

From scratch Python implementation of the fast ICA algorithm.

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendati…

Multimodal Sarcasm Detection Dataset

The official repository containing the source code to the explAIner publication.

🕶 Awesome list of Scrapy tools and libraries

A collection of awesome web scaper, crawler.

A collection of awesome web crawler,spider in different languages

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

3D reconstruction system to creating detailed scene geometry from range video.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Machine Learning on Google Cloud Platform

This is a repository of public data sources for Recommender Systems (RS).

This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)

Curated list of recommnedation system topics

RecSys Summer School 2017 tutorial website and code

List of Computer Science courses with video lectures.

Best Practices on Recommendation Systems

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

A collection of code snippets from the publication Daily Dose of Data Science on Substack: http://www.dailydoseofds.com/

Python interactive dashboards for learning data science

A curated list of gradient boosting research papers with implementations.

Reading list for research topics in multimodal machine learning

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

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Companion webpage to the book "Mathematics For Machine Learning"

machine learning and deep learning tutorials, articles and other resources

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

VIP cheatsheets for Stanford's CS 229 Machine Learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning