Mosaic Board Game (Azul clone)

A Reinforcement Learning Azul Bot and Environment

Single player card game skeleton based on Reigns and Lapse

Visual Effect Graph - Samples Project

Raspberry Pi & NanoPi R2S/R4S & G-Dock & x86 OpenWrt Compile Project. (Based on Github Action / Daily Update)

An open source dataset for source separation

The PyTorch-based audio source separation toolkit for researchers

Code for the paper Hybrid Spectrogram and Waveform Source Separation

Generation of diagrams like flowcharts or sequence diagrams from text in a similar manner as markdown

Improved Wave-U-Net implemented in Pytorch

Official repository for RawNet, RawNet2, and RawNet3

Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

Real-time GCC-NMF Blind Speech Separation and Enhancement

关于语音信号声源定位DOA估计所用的一些传统算法

Classical algorithms of sound source localization with beamforming, TDOA and high-resolution spectral estimation.

A set of MATLAB functions for direction-of-arrival (DOA) estimation in array signal processing.

An open-source tool-augmented conversational language model from Fudan University

ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…

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

Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

Recurrent neural network for audio noise reduction

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

A curated list of awesome anomaly detection resources

Conformer-based Metric GAN for speech enhancement

NVIDIA Linux open GPU kernel module source

BeamformIt acoustic beamforming software

ODAS: Open embeddeD Audition System