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kdd_wind_power_forecast

KDD Cup 2022 spatial dynamic wind power forecast challenge solution.

kddcup2022

[KDD CUP 2022] 11th place solution of Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022

kddcup2022-baidu

3rd place solution of KDD Cup 2022-Spatial Dynamic Wind Power Forecasting

keras

Deep Learning for humans

keras-flask-deploy-webapp

:smiley_cat: Pretty & simple image classifier app template. Deploy your own trained model or pre-trained model (VGG, ResNet, Densenet) to a web app using Flask in 10 minutes.

laravel0917

minigpt-4

MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models

ml-newbies

Machine Learning from Scratch with Python for Newbies.

ml2022-spring

**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring

mslearn-use-git-from-vs-code

Sample code for MS Learn module

neural-network-framework-using-backpropogation-in-c

Neural Network framework using Backpropogation in C

noinget.github.io

notes2020_0912

nowinandroid

A fully functional Android app built entirely with Kotlin and Jetpack Compose

oil-spill-simulation

The aim of this project is to simulate the event of an oil spill as accurately as possible to use it for developing oill spill detection and thickness estimation algorithms.

oil-spill-thickness-estimation

A proof of concept for using machine learning with radar data from a UAV over a body of water to estimate the thicness of an oil spill.

opencpn

A concise ChartPlotter/Navigator. A cross-platform ship-borne GUI application supporting * GPS/GPDS Postition Input * BSB Raster Chart Display * S57 Vector ENChart Display * AIS Input Decoding * Waypoint Autopilot Navigation

parse-server-example

Example server using Express and the parse-server module.

personal

phalapi

PhalApi开源接口框架，简称π框架，一个轻量级PHP开源接口框架，专注于接口服务开发。接口，从简单开始！

php111

pytcpdump

python101

Python101 Course Example

rdea

Data Envelopment Analysis (DEA) package for R with robust unbiased methods.

real_estate2023

saits

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) model with efficiency for imputing multivariate incomplete time series containing missing data/values. https://arxiv.org/abs/2202.08516

segloss

A collection of loss functions for medical image segmentation

sharing-github

sktime

A unified framework for machine learning with time series

stgcn

The PyTorch version of STGCN.