Popular GitHub Repositories for End

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services

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.

pix2code: Generating Code from a Graphical User Interface Screenshot

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

This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.

End-to-End Speech Processing Toolkit

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

An open source library for deep learning end-to-end dialog systems and chatbots.

Facebook AI Research's Automatic Speech Recognition Toolkit

Superduper: Build end-to-end AI applications and agent workflows on your existing data infrastructure and preferred tools - without migrating your data.

Production First and Production Ready End-to-End Speech Recognition Toolkit

Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

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Every front-end GUI client for ChatGPT, Claude, and other LLMs

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Run AI models end-to-end encrypted.

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow