wallace-163's repositories
awesome_time_series_in_python
This curated list contains python packages for time series analysis
deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DeepFM_with_PyTorch
A PyTorch implementation of DeepFM for CTR prediction problem.
deeplearning
深度学习相关的模型训练、评估和预测相关代码
ETDataset
The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.
Kats
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.
LightGBM
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
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.
n-beats
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
numpy-ml
Machine learning, in numpy
poeem
A library for end-to-end learning of embedding index and retrieval model
pytorch-sentiment-analysis
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Pytorch-Transfomer
My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
Recommend-System-tf2.0
原理解析及代码实战，推荐算法也可以很简单 🔥 想要系统的学习推荐算法的小伙伴，欢迎 Star 或者 Fork 到自己仓库进行学习🚀 有任何疑问欢迎提 Issues，也可加文末的联系方式向我询问！
scikit-learn
scikit-learn: machine learning in Python
scikit-learn_bench
scikit-learn_bench benchmarks various implementations of machine learning algorithms across data analytics frameworks. It currently support the scikit-learn, DAAL4PY, cuML, and XGBoost frameworks for commonly used machine learning algorithms.
SparrowRecSys
A Deep Learning Recommender System
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
tft-speedup
Speeding up Google's Temporal Fusion Transformer
transformer
Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
transformer-time-series-prediction
proof of concept for a transformer-based time series prediction model
x-deeplearning
An industrial deep learning framework for high-dimension sparse data
zhihu
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.