lishucai,github

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

mono3d

Source code for "Mononizing Binocular Videos" (SIGGRAPH Asia 2020)

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

nndl.github.io

《神经网络与深度学习》 Neural Network and Deep Learning

notes

Technical Notes On Using Data Science & Artificial Intelligence To Fight For Something That Matters.

object-detection-on-thermal-images

Robust Object Classification of Occluded Objects in Forward Looking Infrared (FLIR) Cameras

object-tracking-by-adaptive-fusion-of-thermal-infrared-and-visible-spectrum-imaging-using-particle-f

Object tracking is a technique used in computer vision and image processing applications. This technique fails to track objects when using only visible sensors in situations with illumination variations, occlusion, camouflage, and adverse climatic circumstances. Thermal sensors are fairly illumination invariant. However, in situations where the temperature is not changing much between the foreground and the background, thermal sensors might not provide the best results, as everything might be single color coded. Visible sensors are known to perform better in these conditions. Thus, the joint use of the visible and thermal sensors would be most beneficial in making a robust object tracking system under such challenging conditions. The proposed method performs object tracking by fusing bimodal information using particle filter with structural similarity index metric (SSIM) as a cue as well as a correlation metric for modality selection. The key idea of this method is to adaptively choose the most discriminating modality with respect to the object being tracked. This is performed by calculation of SSIM between reference and successive frames of both the modalities. The method is evaluated by testing on a variety of extremely challenging video sequences in both imaging modalities and has proven to perform better compared to single modality.

open-source-mac-os-apps

🚀 Awesome list of open source applications for macOS.

opencv-exercises

A set of exercises to help you get started on OpenCV

opensource

【编程随想】收藏的开源项目清单

orange

Cross-platform local file search engine.

pake

🤱🏻 A simple way to make any web page a desktop application using Rust. 🤱🏻 很简单的用 Rust 打包网页生成很小的桌面 App

paper_manager

A command-line manager programed in python, help with managing your local academic papers.

pcc

Resources for Python Crash Course, from No Starch Press.

photodbs

数据库课程设计图片管理系统

picoastal

Open source coastal monitoring

picty

picty helps you manage photos

plasma-python

PPPL deep learning disruption prediction package

powerflowcalculation

电力系统潮流计算 using Python

practicalai

A practical approach to learning machine learning.

privategpt

Interact privately with your documents using the power of GPT, 100% privately, no data leaks

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

prompt-engineering-guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

pumpkin-book

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

pure-bash-bible

📖 A collection of pure bash alternatives to external processes.

purethermal1-uvc-capture

Raw Data over UVC from PureThermal 2 - Lepton 3.5 - Python

pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

pylepton

Quick and dirty pure python library for interfacing with FLIR lepton

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