noINget's repositories
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.
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.
AIS-catcher
AIS receiver for RTL SDR dongles, Airspy R2, Airspy Mini, Airspy HF+, HackRF, SDRplay and SoapySDR
ChatGPT
Reverse engineered ChatGPT API
FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
focalboard
Focalboard is an open source, self-hosted alternative to Trello, Notion, and Asana.
GNN4Traffic
This is the repository for the collection of Graph Neural Network for Traffic Forecasting.
GoodWeather
好天气APP（天气预报、空气质量、生活建议、灾害预警、出行建议、城市切换、城市搜索、天气信息语音播报、语音搜索城市天气、世界国家/地区的城市、常用城市、地图天气、地图搜索定位、手动点击定位、壁纸切换、应用自动更新）
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
MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
ML2022-Spring
**Official** 李宏毅 (Hung-yi Lee) 機器學習 Machine Learning 2022 Spring
nowinandroid
A fully functional Android app built entirely with Kotlin and Jetpack Compose
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
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！
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
STGCN
The PyTorch version of STGCN.
STGNP
KDD'23 --- Graph Neural Processes for Spatio-Temporal Extrapolation
Time-series-prediction
Time series deep learning models in TensorFlow-TFTS
zhihu-app
laravel-vue-zhihu :sparkles: