karpathy/neuraltalk2

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

5592 stars · 1267 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

NeuralTalk2 is a Torch (Lua) implementation of image captioning that uses a CNN (VGGNet) followed by an RNN language model to generate textual descriptions of images, with GPU-accelerated batched training and CNN finetuning support. It includes pretrained models and was a well-known research codebase, now superseded by TensorFlow's im2txt.

Use cases

• generate captions for images with a neural network
• train an image captioning model on my own dataset
• evaluate image captioning models with CIDEr
• learn how CNN-RNN captioning models work
• run pretrained image captioning on GPU

When to choose

• you specifically need a Torch/Lua image captioning implementation for education or research reproduction
• you want to study a classic CNN+RNN captioning architecture with readable inline comments

When to avoid

• you need state-of-the-art captioning quality - use transformer-based or Google's im2txt models instead
• your stack is PyTorch or TensorFlow and you need maintained tooling
• you need a supported, actively maintained project

Facets

library · maturity abandoned

machine-learning deep-learning image-processing nlp machine-learning computer-vision deep-learning python image-captioning torch lstm cnn rnn deprecated natural-language-processing linux gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="karpathy/neuraltalk2")