The PyTorch implementation of STGCN.

百度以及高德地图POI数据和POI边界坐标数据(目前仅限百度)爬取代码，采用Python编写

开源矢量地理数据获取与预处理工具(POI/AOI/行政区/路网/土地利用)

提供百度坐标系(bd-09)、火星坐标系(国测局坐标系、gcj02)、WGS84坐标系直接的坐标互转，也提供了解析高德地址的方法的python版本

Real-time face swap for PC streaming or video calls

DeepFaceLab is the leading software for creating deepfakes.

SoftVC VITS Singing Voice Conversion

This repo is a pipeline of VITS finetuning for fast speaker adaptation TTS, and many-to-many voice conversion

🚀 一键部署！真正的 AI 聊天机器人！支持ChatGPT、文心一言、讯飞星火、Bing、Bard、ChatGLM、POE，多账号，人设调教，虚拟女仆、图片渲染、语音发送 | 支持 QQ、Telegram、Discord、微信 等平台

基于深度强化学习的原神自动钓鱼AI

A Gradio web UI for Large Language Models with support for multiple inference backends.

Code and documentation to train Stanford's Alpaca models, and generate the data.

This project aims to enhance the working environment on Windows

Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IF…

AI based multi-label girl image classification system, implemented by using TensorFlow.

WebUI extension for ControlNet

Simplified Chinese translation extension for AUTOMATIC1111's stable diffusion webui

Stable Diffusion web UI

Implementation of Quick Hull on random generated points

Implementation of batch normalization LSTM in pytorch.

using different RNN techniques on time series (Batch Norm ,Layer Norm , Custom RNN , LSTMs , GRUs , CNN and RNN together , WaveNet )

Convolutional Transformer for time series

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

An annotated implementation of the Transformer paper.

Pytorch implementation of the GradNorm. GradNorm addresses the problem of balancing multiple losses for multi-task learning by learning adjustable weight coefficients.

Implementation of Electric Load Forecasting Based on LSTM (BiLSTM). Including direct-multi-output forecasting, single-step-scrolling forecasting, multi-model-single-step forecasting, multi-model-sc…

原神AI全自动打鼓

Official code for 2021-DASFAA-Neural Demographic Prediction in Social Media with Deep Multi-View Multi-Task Learning

In general, a learning problem considers a set of n samples of data and then tries to predict properties of unknown data. If each sample is more than a single number and, for instance, a multi-dime…