Stars
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn OpenCV : C++ and Python Examples
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
PRML algorithms implemented in Python
PyTorch code and models for the DINOv2 self-supervised learning method.
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
Code for Tensorflow Machine Learning Cookbook
The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.
"Probabilistic Machine Learning" - a book series by Kevin Murphy
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
Kandinsky 2 — multilingual text2image latent diffusion model
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021, T-PAMI 2022
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
The dataset is used to train my own raccoon detector and I blogged about it on Medium
EPFL Course - Optimization for Machine Learning - CS-439
Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.
Implementation of XFeat (CVPR 2024). Do you need robust and fast local feature extraction? You are in the right place!
Code / solutions for Mathematics for Machine Learning (MML Book)
M. Beyeler (2017). Machine Learning for OpenCV: Intelligent image processing with Python. Packt Publishing Ltd., ISBN 978-178398028-4.
北邮《Python编程与实践》课程资料
A driving dataset for the development and validation of fused pose estimators and mapping algorithms
The ApolloScape Open Dataset for Autonomous Driving and its Application.