wpyx89 Goto Github PK
Name: peng wang
Type: User
Company: school of Energy & Environment, Southeast University
Location: Nanjing, china
peng wang's Projects
ailearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
algorithm_interview_notes-chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-machine-learning-cn
机器学习资源大全中文版，包括机器学习领域的框架、库以及软件
cnn-bilstm-attention-time-series-prediction_keras
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
dataminingalgorithm
数据挖掘18大算法实现以及其他相关经典DM算法
deep-physics
Intuitive Physics of Dynamic Environments using DNNs, GANs, and RNNs
deeplearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06
deeplearning-models
A collection of various deep learning architectures, models, and tips
gnnpapers
Must-read papers on graph neural networks (GNN)
industrialbenchmark
Industrial Benchmark
keras-gan
Keras implementations of Generative Adversarial Networks.
keras_test
Keras_test
machine-learning
机器学习原理
machinelearning_python
机器学习算法python实现
ml-from-scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
peng-wang
Ph.D
pga_lstm
Physics Guided Architecture (PGA) of Neural Networks for Quantifying Uncertainty in Lake Temperature Modelling
pgnn
Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling
phylstm
We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.
time-series-prediction
Dynamic prediction of thermal process based on hybrid model
tutorials
机器学习相关教程
vae-lstm-for-anomaly-detection
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
wpyx89.github.io
peng的博客
Recommend Projects
-
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
-
Vue.js
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
-
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
-
TensorFlow
An Open Source Machine Learning Framework for Everyone
-
Django
The Web framework for perfectionists with deadlines.
-
Laravel
A PHP framework for web artisans
-
D3
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
-
Recommend Topics
-
javascript
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
-
web
Some thing interesting about web. New door for the world.
-
server
A server is a program made to process requests and deliver data to clients.
-
Machine learning
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
-
Visualization
Some thing interesting about visualization, use data art
-
Game
Some thing interesting about game, make everyone happy.
Recommend Org
-
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
-
Microsoft
Open source projects and samples from Microsoft.
-
Google
Google ❤️ Open Source for everyone.
-
Alibaba
Alibaba Open Source for everyone
-
D3
Data-Driven Documents codes.
-
Tencent
China tencent open source team.