Stars
TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.
Chronos: Pretrained Models for Time Series Forecasting
About model release for "Sundial: A Family of Highly Capable Time Series Foundation Models" (ICML 2025 Oral)
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
A next.js web application that integrates AI capabilities with draw.io diagrams. This app allows you to create, modify, and enhance diagrams through natural language commands and AI-assisted visual…
Transforms complex documents like PDFs and Office docs into LLM-ready markdown/JSON for your Agentic workflows.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
这是一个基于OpenCompass的模型评测系统,该系统提供了前端页面UI以方便用户自助开展评测工作。
LMDeploy is a toolkit for compressing, deploying, and serving LLMs.
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
高性能本地化语音合成API服务,基于kokoro-onnx开发,支持中文和多语言,提供FastAPI接口与Docker部署,一键搭建私有TTS服务。
chai51 / Kokoro-FastAPI
Forked from remsky/Kokoro-FastAPIDockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/CPU ONNX and NVIDIA GPU PyTorch support, handling, and auto-stitching
Kokoro-FastAPI,原项目支持hexgrad/Kokoro-82M,当前项目根据原项目issue中的建议更改,支持hexgrad/Kokoro-82M-v1.1-zh模型,中文音色更自然
Kokoro-FastAPI,原项目支持hexgrad/Kokoro-82M,当前项目根据原项目issue中的建议更改,支持hexgrad/Kokoro-82M-v1.1-zh模型,中文音色更自然
Dockerized FastAPI wrapper for Kokoro-82M text-to-speech model w/multiplatform CPU, AMD, NVIDIA GPU PyTorch support, handling, and auto-stitching
Transcribe any audio to text, translate and edit subtitles 100% locally with a web UI. Powered by whisper models!
tiktoken is a fast BPE tokeniser for use with OpenAI's models.
Multi-backend whisper app. Blazing fast. Mac-arm optimized. Easy install. Input a local file or url and this service will transcribe it using Whisper AI. Completely private and Free 🤯🤯🤯
Faster Whisper transcription with CTranslate2
Simultaneous speech-to-text models
OpenAI Whisper ASR Webservice API
Robust Speech Recognition via Large-Scale Weak Supervision