The simplest way to serve AI/ML models in production
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Updated
Jun 12, 2024 - Python
The simplest way to serve AI/ML models in production
a self-hosted webui for 30+ generative ai
CLI tool to transcribe (+ translate) videos and embed subtitles automatically.
🚀 Framework for seamless fine-tuning of Whisper model on a multi-lingual dataset and deployment to prod.
An AI-powered Virtual YouTuber (Vtuber) utilizing Google's Gemini language model to create engaging, personalized, and context-aware interactions. This project explores the potential of AI in human-computer interaction and virtual content creation.
Swift native on-device speech recognition with Whisper for Apple Silicon
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
A fast CPU-first video/audio transcriber for generating caption files with Whisper and CTranslate2, hosted on Hugging Face Spaces.
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
Backend for MedVoice Project
Mrzaizai2k Stock Assistant Bot: Your all-in-one stock analysis companion. Calculate payback time, find support/resistance, and receive market warnings.
Port of OpenAI's Whisper model in C/C++
Transcripts for various Youtube Channels inspired by https://karpathy.ai/lexicap/index.html
Demo using PhoWhisper models of VinAI built with Transformers.js + Next.js
A flutter library for offline speech-to-text conversion which use whisper.cpp models implementation for Android、iOS、macOS.
Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper
OBS plugin for local speech recognition and captioning using AI
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