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diffusion generative model
A simple tutorial of Variational AutoEncoders with Pytorch
PyTorch denoising diffusion demo
Awesome Best Papers in Computer Vision Top Conference(CVPR/ICCV/ECCV)
A curated list of the most impressive AI papers
A project for processing neural networks and rendering to gain insights on the architecture and parameters of a model through a decluttered representation.
Introduction to Manifold Learning - Mathematical Theory and Applied Python Examples (Multidimensional Scaling, Isomap, Locally Linear Embedding, Spectral Embedding/Laplacian Eigenmaps)
Spectral embedding using Laplacian Eigenmaps
2021年最新总结，推荐工程师合适读本，计算机科学，软件技术，创业，思想类，数学类，人物传记书籍
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
A high-quality ellipse detector based on arc-support line segments which can both accurately and efficiently detect ellipses in images.
This is the implementation in C++ of the paper: 'A fast and effective ellipse detector for embedded vision applications'
Joint deep network for feature line detection and description
Official implementation of paper "TP-LSD: Tri-points based line segment detector" .
Holistically-Attracted Wireframe Parsing [TPAMI'23] & [CVPR' 20]
Implementation of the paper "DeepLSD: Line Segment Detection and Refinement with Deep Image Gradients"
Implement code of paper "ElDet: Anchor-free General Ellipse Object Detector"
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Code for CRATE (Coding RAte reduction TransformEr).
Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍
Collection of reproducible deep learning for compressive sensing
A playbook for systematically maximizing the performance of deep learning models.
Awesome work on object 6 DoF pose estimation
Resources (papers, datasets, rendering methods) in the domain of object pose estimation.
My code related to the book "Information Theory, Inference, and Learning Algorithms" by David Mackay