Stars
A latent text-to-image diffusion model
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
100-Days-Of-ML-Code中文版
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
AISystem 主要是指AI系统，包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Public facing notes page
An open-source, low-code machine learning library 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
Deep Learning Specialization by Andrew Ng on Coursera.
Understanding Deep Learning - Simon J.D. Prince
TensorFlow Basic Tutorial Labs
Tutorials for creating and using ONNX models
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Notebooks for "Python for Signal Processing" book
This repository contains small projects related to Neural Networks and Deep Learning in general. Subjects are closely linekd with articles I publish on Medium. I encourage you both to read as well …
Lectures for INFO8010 Deep Learning, ULiège
Example deep learning projects that use wandb's features.
Numerical Tours of Signal Processing
Some work of Andrew Ng's course on Coursera
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
STAT 453: Intro to Deep Learning @ UW-Madison (Spring 2021)