baluobo1234
Follow
Lists (1)
Stars
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
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
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
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…
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…
A list of multi-task learning papers and projects.
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
Learing the process of LSTM, and use keras achieve stock prediction using LSTM。LSTM步骤解释，然后使用keras实现用LSTM预测股票走势
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data