Welcome to The Latent!

If you are here, it is a testament that you are seeking to learn something new in the field of Data Science, Machine Learning, or Deep Learning. The field of Machine Learning moves fast. Almost a hundred papers are published daily on arXiv. The number of resources to learn from about these new developments is still low. For example, Diffusion Models saw exponential growth in terms of research papers and related experiments. We try to bridge that gap by putting the learning resources about new research in short blog posts. These blog posts consist of three things:

1. Conceptual theory
2. Underlying math
3. Corresponding code

We are starting with the DDPMs series, but we may publish posts on new topics shortly. Check out the Blog and Archive sections on the top for details. The Resources section contains a few complementary resources. Feedback is always welcome!

About us

Aakash Nain

Senior ML Engineer at Merlyn Mind. Keras 3 core collaborator, maintainer for TensorFlow-addons package, Google Developers Expert in Machine Learning, and JAX. Actively contributes to Keras, TensorFlow, and JAX.

Sayak Paul

ML Engineer at Hugging Face. Active contributor to Hugging Face Transformers, KerasCV and Keras. Off the work, he likes binge-watching stuff on Netflix.

Rishabh Anand

Undergrad researcher from the National University of Singapore focusing on Graph Representation Learning for the natural sciences. Avid writer and active open-source contributor on AI/ML.