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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。
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
An open-source, low-code machine learning library in Python
Automatic extraction of relevant features from time series:
My blogs and code for machine learning. http://cnblogs.com/pinard
Build your neural network easy and fast, 莫烦Python中文教学
Python code for common Machine Learning Algorithms
List of papers, code and experiments using deep learning for time series forecasting
Quantitative research and educational materials
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entr…
Codes related to activities on AV including articles, hackathons and discussions.
Machine learning algorithms implemented by pure numpy
An implementation of WaveNet with fast generation
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.
ccf2016 sougou final winner solution
Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.
Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso) Regression and Random Forest Regressor with scikit-learn ba…
Explain how to explore a dataset
BaseWavenet/Wavenet+ResidualBlock
Materials for the 'Sales Forecasting with Neural Networks' hands-on presentation