andy98little's Stars
dani-garcia/vaultwarden
Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs
babysor/MockingBird
🚀AI拟声: 5秒内克隆您的声音并生成任意语音内容 Clone a voice in 5 seconds to generate arbitrary speech in real-time
fengdu78/lihang-code
《统计学习方法》的代码实现
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
wuye9036/CppTemplateTutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同，该系列教程将C++ Templates作为一门图灵完备的语言来讲授，以求帮助读者对Meta-Programming融会贯通。(正在施工中)
wmjordan/PDFPatcher
PDF补丁丁——PDF工具箱，可以编辑书签、剪裁旋转页面、解除限制、提取或合并文档，探查文档结构，提取图片、转成图片等等
bitwarden/clients
Bitwarden client apps (web, browser extension, desktop, and cli).
Jack-Cherish/Machine-Learning
:zap:机器学习实战（Python3）：kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
open-mmlab/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
zhm-real/PathPlanning
Common used path planning algorithms with animations.
tpn/pdfs
Technically-oriented PDF Collection (Papers, Specs, Decks, Manuals, etc)
Vay-keen/Machine-learning-learning-notes
周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！
NVlabs/SegFormer
Official PyTorch implementation of SegFormer
liulinbo/slam
learning SLAM,curse,paper and others
hku-mars/r3live
A Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
X-zhangyang/Real-World-Masked-Face-Dataset
Real-World Masked Face Dataset，口罩人脸数据集
hku-mars/loam_livox
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
wzpan/BeamerStyleSlides
🌈Beamer风格的幻灯片模板集。包含了PowerPoint和Keynote两套格式。
denyhosts/denyhosts
Automated host blocking from SSH brute force attacks
XuyangBai/TransFusion
[PyTorch] Official implementation of CVPR2022 paper "TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers". https://arxiv.org/abs/2203.11496
zsdonghao/deep-learning-book
《Deep Learning》《深度学习》 by Ian Goodfellow, Yoshua Bengio and Aaron Courville
roadwide/AI-Homework
人工智能结课作业（A星八数码/广度优先/深度优先/粒子群寻优算法/遗传算法/蚁群算法/BP神经网络/卷积神经网络）
dadatuputi/bitwarden_gcloud
Bitwarden installation optimized for Google Cloud's 'always free' e2-micro compute instance
WanquanF/NeuralPoints
【Code of CVPR 2022 paper】Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling
leezqcst/machine-learning-algorithm
记录小润了解的各种机器学习算法的实现以及基础概念，包括有监督学习，无监督学习，分类，聚类，回归；神经元模型，多层感知器，BP算法；损失函数，激活函数，梯度下降法；全连接网络、卷积神经网络、递归神经网络；训练集，测试集，交叉验证，欠拟合，过拟合；数据规范化等
yuekong2010/load-forecasting-algorithms
使用多种算法（线性回归、随机森林、支持向量机、BP神经网络、GRU、LSTM）进行电力系统负荷预测/电力预测。通过一个简单的例子。A variety of algorithms (linear regression, random forest, support vector machine, BP neural network, GRU, LSTM) are used for power system load forecasting / power forecasting.
Coolgiserz/Awesome-Traffic-Prediction
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
bborja/modd
Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment
PacktPublishing/Distributed-Machine-Learning-with-Python
Distributed Machine Learning with Python, published by Packt
ZHWKnight/setup-scripts