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Centro de Informática - UFPE
- Pernambuco
- https://www.linkedin.com/in/julio-cezar-soares-silva-ab6684104/
Stars
🦜🔗 Build context-aware reasoning applications
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Data Engineering Zoomcamp is a free nine-week course that covers the fundamentals of data engineering.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
FinRL: Financial Reinforcement Learning. 🔥
PyTorch code and models for the DINOv2 self-supervised learning method.
Best Practices, code samples, and documentation for Computer Vision.
Multi-Joint dynamics with Contact. A general purpose physics simulator.
This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…
COCO API - Dataset @ http://cocodataset.org/
[ICCV 2019] Monocular depth estimation from a single image
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练:算法与应用》中文电子书、源码、读者交流社区(持续更新中 ...) 📘 在线电子书 https://charmve.github.io/computer-vision-in-acti…
Easily compute clip embeddings and build a clip retrieval system with them
Metric depth estimation from a single image
Implementation for <SphereFace: Deep Hypersphere Embedding for Face Recognition> in CVPR'17.
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation
Example notebooks for working with SageMaker Studio Lab. Sign up for an account at the link below!
This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific w…
Code examples for Robotics, Vision & Control 3rd edition in Python
[CVPR 2023 Highlight] Perspective Fields for Single Image Camera Calibration
Surrogate Optimization Toolbox for Python
Bird's eye/Top Down view generation and mapping with deep learning.
Python Library for Robust Decision Making and Exploratory Modelling
This project has two parts. In part one, we use markov random field to denoise an image. In Part two, we use similar model for image segmentation.