Popular GitHub Repositories for Faster Whisper

Finetune Llama 3.3, DeepSeek-R1 & Reasoning LLMs 2x faster with 70% less memory! ?

Port of OpenAI's Whisper model in C/C++

Making large AI models cheaper, faster and more accessible

OpenMMLab Detection Toolbox and Benchmark

Faster Whisper transcription with CTranslate2

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

A command-line productivity tool powered by AI large language models like GPT-4, will help you accomplish your tasks faster and more efficiently.

TensorZero creates a feedback loop for optimizing LLM applications — turning production data into smarter, faster, and cheaper models.

OpenAI ChatGPT, GPT-3, GPT-4, DALL·E, Whisper API wrapper for Go

? Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

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.

One UI is all done with chatgpt web, midjourney, gpts,suno,luma,runway,viggle,flux,ideogram,realtime,pika,udio; Simultaneous support Web / PWA / Linux / Win / MacOS platform

Nexa SDK is a comprehensive toolkit for supporting GGML and ONNX models. It supports text generation, image generation, vision-language models (VLM), Audio Language Model, auto-speech-recognition (ASR), and text-to-speech (TTS) capabilities.

Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

? 飞书 ×（GPT-4 + GPT-4V + DALL·E-3 + Whisper）= 飞一般的工作体验 ? 语音对话、角色扮演、多话题讨论、图片创作、表格分析、文档导出 ?

On-device Speech Recognition for Apple Silicon