These are some of the open-source demos we built to make our research more readily available for developers and researchers.

AK Hugging Face Paper Selection Predictor
Predict if @_akhaliq will select a paper into Hugging Face papers based on its title, authors, and abstract.
demo code data models
OpenAI Watch
Monitoring the consistency of GPT-4 under greedy decoding (T=0) with a web-based application that commands GPT-4 to draw a unicorn every hour.
demo data
Markup-to-Image Diffusion Models with Scheduled Sampling
A learning-based system to compile presentational markup, such as LaTeX, into corresponding images.
demo code paper models
Neural Linguistic Steganography
Hide secret messages in fluent texts using arithmetic coding and strong neural models.
demo code paper
A full service open-source neural machine translation system. Originally developed in Lua with Systran, since ported to PyTorch and TensorFlow and maintained externally.
code paper
A learning-based system to decompile an image into presentational markup. For example, we can infer the LaTeX or HTML source from a rendered image.
demo code paper data models
Cascaded Text Generation with Markov Transformers
A parallel, fast, autoregressive, and accurate text generation algorithm using high-order Conditional Random Fields (CRFs).
code paper