Rafael Padilla's repositories
Object-Detection-Metrics
Most popular metrics used to evaluate object detection algorithms.
review_object_detection_metrics
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
DeepLearning-VDAO
Here are some of the results of my experiments applying Deep Learning for object detection.
transformers
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
agents-course
This repository contains the Hugging Face Agents Course.
autodistill
Images to inference with no labeling (use foundation models to train supervised models).
autodistill-gpt-4v
GPT-4V(ision) module for use with Autodistill.
autodistill-yolov11
YOLOv11 Target Model plugin for Autodistill
blog
Public repo for HF blog posts
circleci-demo-javascript-express
Sample Javascript/Express app building on CircleCI
datasets
π€ The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools
evaluate
π€ Evaluate: A library for easily evaluating machine learning models and datasets.
flask-school-app-and-api
Web app and REST API built with Flask
imagen-pytorch
Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch
langchain
π¦π Build context-aware reasoning applications
nd9991-c2-Infrastructure-as-Code-v1
Repository for starter code and supporting material
nd9991-c3-hello-world-exercise-solution
Hello world exercise from ND9991 C3 L4
notebooks
Notebooks using the Hugging Face libraries π€
practicals-2023
Practical courses Khipu 2023
react-slingshot
React + Redux starter kit / boilerplate with Babel, hot reloading, testing, linting and a working example app built in
scene_graph_benchmark
image scene graph generation benchmark
supervision
We write your reusable computer vision tools. π
videohash
Near Duplicate Video Detection (Perceptual Video Hashing) - Get a 64-bit comparable hash-value for any video.