David Cardozo's repositories
pipelines
Machine Learning Pipelines for Kubeflow
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.
diffusers
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
flax
Flax is a neural network library for JAX that is designed for flexibility.
kmnist-jax
Tutorial on the use of JAX to solve the kmnist dataset
JAX-in-Action
Notebooks for the "JAX in Action" book
diffusion_models
A series of tutorial notebooks on denoising diffusion probabilistic models in PyTorch
mindsdb
Predictive AI layer for existing databases.
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite
Davidnet.github.io
Website of David Cardozo
inkyshot
Get a daily random inspirational quote delivered direct to your desk with Inkyshot. Build multiple Inkyshots and share the inspiration with your friends, family and loved ones ❤️
artemisa
Codigo fuente de artemisa.unbosque.edu.co, incluyendo SALA y demas sistemas.
dotfiles
My dot files
EmbedMask
EmbedMask: Embedding Coupling for One-stage Instance Segmentation
FCOS
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
osm-route-planner
Open Street Maps Route Planner using A* Algorithm implemented in C++