A codebase dedicated to exploring multimodal learning approaches by integrating images of host galaxies of supernovae and their corresponding light-curves and spectra.

LLM101n: Let's build a Storyteller

Ongoing research training transformer models at scale

DeepSeek-VL: Towards Real-World Vision-Language Understanding

ML-friendly datasets of galaxy images and labels

This repository contains resources for technical coding interviews.

Educational materials on deep learning by Weights & Biases

Course for Interpreting ML Models

Repository for the project "DeepShadows: Separating LSBGs from artifacts using Deep Learning"

Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.

Repository with all my blog posts on data science and machine learning learning topics

A library for Bayesian neural network layers and uncertainty estimation in Deep Learning extending the core of PyTorch

A collection of research papers and software related to explainability in graph machine learning.

Material for the 2021 DSEER "Introduction to Scientific Computing" bootcamp

AI Summer's complete catalog of articles

Deep Learning for humans

a 5 day, 10 hour introduction to machine learning mini-course

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

Material for the CMU Quarks2Cosmos Conference Data Challenges

Autoencoders for galaxies

📺 Discover the latest machine learning / AI courses on YouTube.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow