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a-example-for-nbeats

Forecast Carbon Emissions with Time-Series data. This repository contains 2x Jupyter Notebooks that predict Carbon Emissions in the United States using Neural Basis Expansion Analysis for Time series (NBeats). The second notebook has an extra pre-processing step of data been scaled and inverse-transformed before final results.

data-science-notes

数据科学的笔记以及资料搜集

deepar-pytorch

fusiongan-detection

多传感器信息融合目标检测

gnn-geo

gts

Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

htsmodel

复现论文<A machine learning approach for forecasting hierarchical time series>

learning-memory-guided-normality-for-anomaly-detection

An official implementation of "Learning Memory-guided Normality for Anomaly Detection" (CVPR 2020) in PyTorch.

leetcode

m5-hts

My second place solution in the M5 Accuracy competition

machine-learning

LR / SVM / XGBoost / RandomForest etc.

mad-gans

Applied generative adversarial networks (GANs) to do anomaly detection for time series data

ml--

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

python-spider

:rainbow:Python3网络爬虫实战：淘宝、京东、网易云、B站、12306、抖音、笔趣阁、漫画小说下载、音乐电影下载等

pytorch-examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

pytorch-mscred

vae-gan

VAE-GAN applied to the MNIST Digits

vae-lstm-for-anomaly-detection

We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.