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pythonfordataanalysis

利用Python进行数据分析学习笔记以及自己寻找数据集做的练习

pythonstock

一些python的测试代码

pytorch-beginner

pytorch tutorial for beginners

pytorch-best-practice

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-forecasting

Time series forecasting with PyTorch

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

pytorch-tutorial

Build your neural network easy and fast

pytorch_bits

qrmgm_kde

A probabilistic forecasting method based on Quantile Regression Minimal Gated Memory Network and Kernel Density Estimation.

qsqf

Code for "Nonparametric Probabilistic Forecasting for Wind Power Generation using Quadratic Spline Quantile Function and Autoregressive Recurrent Neural Network"

quantile_reg

Adaptive algorithm for quantile regression

resnetlstm

rl-adventure

Pytorch Implementation of DQN / DDQN / Prioritized replay/ noisy networks/ distributional values/ Rainbow/ hierarchical RL

rnn-time-series-anomaly-detection

RNN based Time-series Anomaly detector model implemented in Pytorch.

sarimax-models

Estimate S-ARIMA-X models with Stochastic Gradient Descent or Kalman Filter

scholar-data-driven-alpha-in-ai-industry-ieee-bigdata-2019

Practical Machine Learning Approach to Capture the Scholar Data Driven Alpha in AI Industry. IEEE BigData 2019.

self-boosted-time-series-forecasting

Pytorch implementation of "Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning" https://arxiv.org/pdf/1909.08181.pdf

seriesnet

Time series prediction using dilated causal convolutional neural nets (temporal CNN)

solve-air-air-pollution-forecasting-using-deep-attentive-sequence-learning

First step towards solving a real-life problem - air pollution forecasting in Delhi, using deep learning

solver

som-vae

TensorFlow implementation of the SOM-VAE model as described in https://arxiv.org/abs/1806.02199

spacetime

Code for SpaceTime 🌌⏱️. Proposed in Effectively Modeling Time Series with Simple Discrete State Spaces, ICLR 2023.

spoon-knife

This repo is for demonstration purposes only.

sssd

Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'

st-resnet-pytorch

Code snippets of ST-ResNet by PyTorch

statsmodels

Statsmodels: statistical modeling and econometrics in Python

stg2seq

Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting

stock

darnn

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations