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LOBCAST is a Python-based open-source framework for stock market trend forecasting using Limit Order Book (LOB) data. 🤖📈
We release `LOBFrame', a novel, open-source code base which presents a renewed way to process large-scale Limit Order Book (LOB) data.
Predictive yield curve modeling in reduced dimensionality
[CVPR 2023] Curricular Contrastive Regularization for Physics-aware Single Image Dehazing
[IEEE TIP] Vision Transformers for Single Image Dehazing
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
A C++ based program that offers two methods for image or video dehazing. One refer to the paper Single Image Haze Removal Using Dark Channel Prior, and the other refer to Non-local Image Dehazing. …
Robust Regression for arbitrary non-linear functions
C++ Implementation of Baker-Matthews Inverse Compositional Image Alignment algorithm, with speed and accuracy optimisations
Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
A simple monocular visual odometry project in Python
pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pip…
Toolbox for quantitative trajectory evaluation of VO/VIO
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
NeurIPS 2021 paper: Learning to Dehaze with Polarization
A Collection of Papers and Codes in CVPR2023/2022 about low level vision
A Python-embedded modeling language for convex optimization problems.
Collection of useful machine learning codes and snippets (originally intended for my personal use)
A Python convex optimization package using proximal splitting methods
Proximal algorithms for image analysis