David Cardozo's starred repositories
transformers
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
awesome-cto
A curated and opinionated list of resources for Chief Technology Officers, with the emphasis on startups
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
RustPython
A Python Interpreter written in Rust
diffusion-models-class
Materials for the Hugging Face Diffusion Models Course
fast-depth
ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"
vertex-ai-mlops
Google Cloud Platform Vertex AI end-to-end workflows for machine learning operations
jax_metrics
A metrics library for the JAX ecosystem
jax_tpu_docker
Provides a Docker image for running JAX on TPU VMs. This repository contains the necessary files to build the Docker image and run JAX on TPUs with ease, making it easy for researchers to take advantage of the power of TPUs for their machine learning projects.