tensorflow/lingvo

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2864 stars · 451 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

Lingvo is a TensorFlow-based framework for building neural networks, particularly sequence models, with a focus on speech recognition, machine translation, language modeling, and TTS. It includes reference model implementations and supports distributed training on GPUs.

Use cases

• train an automatic speech recognition model
• build a sequence-to-sequence model in TensorFlow
• run machine translation experiments
• train a large transformer language model with GShard
• do speech synthesis research
• run distributed training of sequence models on GPUs

When to choose

• you need a research framework for speech or translation sequence models on TensorFlow
• you want reference implementations of ASR, MT, or LM models
• you need distributed training of large sequence models

When to avoid

• you prefer PyTorch or JAX ecosystems
• you need production-ready speech APIs rather than a research framework
• you need frequent releases with backward-compatibility guarantees

Facets

framework · maturity maintenance

machine-learning deep-learning speech-recognition tts nlp llm-training machine-learning speech-processing deep-learning python cross-platform tensorflow sequence-models asr machine-translation seq2seq distributed-training research natural-language-processing gpu linux

Member repositories

For agents

markdown · JSON · MCP: product_card(name="tensorflow/lingvo")