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This is a 'hands-on' tutorial for the RIKEN International School on Data Assimilation (RISDA2018).
common data analysis and machine learning tasks using python
Easy-to-use data handling for SQL data stores with support for implicit table creation, bulk loading, and transactions.
The ApolloScape Open Dataset for Autonomous Driving and its Application.
A repository of pretty cool datasets that I collected for network science and machine learning research.
Module to predict multi-variate multi-feature multi-step Time-Series using LSTM neural network and Deep Learning (a branch of AI/Machine Learning) in Python Keras
List of papers, code and experiments using deep learning for time series forecasting
Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations
A collection of various deep learning architectures, models, and tips
Deep Learning for Spatio-Temporal Data
DINCAE (Data-Interpolating Convolutional Auto-Encoder) is a neural network to reconstruct missing data in satellite observations.
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
A simple LaTeX package for Mathematical Contest in Modeling (MCM)
LSTM-GAN for generate plausible ECG signals
Python implementations of empirical mode decomposition as well as EEMD and CEEMD variants.
Improving the forecasting accuracy of ENSO through deep learning
Contains functions involved in Empirical Orthogonal Function Analysis (EOF), also known as Principal Components Analysis (PCA)
EOF Analysis in climate
EOF analysis in Python (new users should use eofs: https://github.com/ajdawson/eofs/)
EOF analysis in Python
Visualizations for machine learning datasets
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
Code for the paper entitled "ForecastNet: A Time-Variant Deep Feed-Forward Neural Network Architecture for Multi-Step-Ahead Time-Series Forecasting"
A free audio dataset of spoken digits. Think MNIST for audio.
A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs
Few-Shot Learning with Global Class Representations
GAN based ConvLSTM in precipitation prediction (Trial Version)
《深入浅出图神经网络:GNN原理解析》配套代码
GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings
[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.