zhangbeihai007's Stars
mauricio1986/Spbook
Book: Intermediate Spatial Econometrics using R
kenjihiranabe/The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
alexhegit/handson-ml2
https://github.com/ageron/handson-ml2
cycleuser/Stanford-CS-229
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
liyupi/sql-generator
🔨 用 JSON 来生成结构化的 SQL 语句,基于 Vue3 + TypeScript + Vite + Ant Design + MonacoEditor 实现,项目简单(重逻辑轻页面)、适合练手~
SharkFin-top/neuralprophet-doc-zh
NeuralProphet中文文档
bnsreenu/python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Dod-o/Statistical-Learning-Method_Code
手写实现李航《统计学习方法》书中全部算法
shitou12345678/Sunspot-forecast
The number of sunseeds is predicted by combining phase space reconstruction with deep neural networks.
WWW5911/PSR_LSTM-
sonal-bansal/Mnist-ANN-
coderapperr/Keras-Ann
Classification of MNIST digit dataset using keras
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.
TNTmohan/LFforecast
电力系统短期负荷预测
yaozhian/Multi-feature-power-load-forecasting-based-on-deep-learning
基于深度学习的多特征电力负荷预测
benjamingli/Electric-Load-Forecasting
基于LSTM的电力负荷预测
personqianduixue/Math_Model
数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法
datamonday/Time-Series-Analysis-Tutorial
时间序列分析教程
itheima1/hm_car
黑马无人小车源码
huayong/dl-vision-papers
深度学习和三维视觉相关的论文
gaoxiang12/slambook2
edition 2 of the slambook
raulmur/ORB_SLAM2
Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities
AceCoooool/slambook
高翔《视觉slam十四讲》代码 https://github.com/gaoxiang12/slambook
NVIDIA-AI-IOT/jetbot
An educational AI robot based on NVIDIA Jetson Nano.
Salensoft/thu-cst-cracker
清华大学计算机系课程攻略
murufeng/CVPR_2021_Papers
CVPR2021最新论文汇总,主要包括:Transformer, NAS,模型压缩,模型评估,图像分类,检测,分割,跟踪,GAN,超分辨率,图像恢复,去雨,去雾,去模糊,去噪,重建等等
wavce/cv_papers
计算机视觉方面的分类、对象检测、图像分割、人脸检测、OCR等中文翻译
jayboxyz/deeplearning-image-segmentation
:bread: 基于深度学习方法的图像分割(含语义分割、实例分割、全景分割)。
weslynn/AlphaTree-graphic-deep-neural-network
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN),图神经网络(GNN),NLP,大数据相关的发展路书(roadmap), 并附海量源码(python,pytorch)带大家消化基本知识点,突破面试,完成从新手到合格工程师的跨越,其中深度学习相关论文附有tensorflow caffe官方源码,应用部分含推荐算法和知识图谱
1211186431/Exchange_rate
汇率api