Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A neural network that transforms a design mock-up into a static website.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
A collection of resources and papers on Diffusion Models
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Data science interview questions and answers
🏅 Collection of Kaggle Solutions and Ideas 🏅
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models
Deep Learning GPU Training System
🌎 machine learning tutorials (mainly in Python3)
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Datawhale成员整理的面经，内容包括机器学习，CV，NLP，推荐，开发等，欢迎大家star
🤖 Machine Learning Summer School Guide
The purpose of this project is to share knowledge on how awesome Streamlit is and can be
A large annotated semantic parsing corpus for developing natural language interfaces.
An awesome face technology repository.
To speedup and simplify image labeling/ annotation process with multiple supported formats.