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Multimodal Color-to-Thermal Image Translation
中英文敏感词、语言检测、中外手机/电话归属地/运营商查询、名字推断性别、手机号抽取、身份证抽取、邮箱抽取、中日文人名库、中文缩写库、拆字词典、词汇情感值、停用词、反动词表、暴恐词表、繁简体转换、英文模拟中文发音、汪峰歌词生成器、职业名称词库、同义词库、反义词库、否定词库、汽车品牌词库、汽车零件词库、连续英文切割、各种中文词向量、公司名字大全、古诗词库、IT词库、财经词库、成语词库、地名词库、…
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Implementation of GraphKan with torch geometrics and its application on signal classification
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
动手学Ollama，CPU玩转大模型部署，在线阅读地址：https://datawhalechina.github.io/handy-ollama/
Code for "Is Mamba Effective for Time Series Forecasting?"
List of tools & datasets for anomaly detection on time-series data.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
RNN based Time-series Anomaly detector model implemented in Pytorch.
Code repository for our paper Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao , "An Underwater Image Enhancement Benchmark Dataset and Beyond" IEEE TIP 2019.
MobaXterm 简体中文汉化版🌏🖥🖥🖥 【💌慢工精心制作，"提示"也汉化💻】 【😍控件布局精细调整】
The code for paper: A Deep Neural Network Based Method for Magnetic Anomaly Detection.
This project focuses on the processing and analysis of Hyperspectral Images (HSIs) using machine learning techniques. It covers spectral unmixing to decompose mixed pixels into pure materials and c…
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
A PyTorch implementation of SEGAN based on INTERSPEECH 2017 paper "SEGAN: Speech Enhancement Generative Adversarial Network"
Speech Enhancement Generative Adversarial Network in TensorFlow
ehist - subband energy histogram analysis for looking at speech channel quality
A collection of audio feature extraction algorithms written in the Vamp plugin format.
Noise removal/ reducer from the audio file in python. De-noising is done using Wavelets and thresholding is done by VISU Shrink thresholding technique
A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.