Name: Givanildo Gramacho
Type: User
Company: CHECKCELL Technologies
Bio: Post-Graduation Control Automation at Federal Institute of São Paulo-CEO CHECKCELL Technologies R&D-Artificial Intelligence, Quantum Computing & Control System
Twitter: Checkcell
Location: https://www.instagram.com/checkcell_technologies/
Blog: https://www.linkedin.com/in/givanildo-gramacho-915552176/
Givanildo Gramacho's Projects
Git Course
Everything you need to know about creating a strong application for the Qiskit Advocates program, all in one place!
A curated list of awesome quantum computing learning and developing resources.
DeepRacer workshop content
Quantum computing is one the most promising new trends in information processing. In this course, we will introduce from scratch the basic concepts of the quantum circuit model (qubits, gates and measures) and use them to study some of the most important quantum algorithms and protocols, including those that can be implemented with a few qubits (BB84, quantum teleportation, superdense coding...) as well as those that require multi-qubit systems (Deutsch-Jozsa, Grover, Shor..). We will also cover some of the most recent applications of quantum computing in the fields of optimization and simulation (with special emphasis on the use of quantum annealing, the quantum approximate optimization algorithm and the variational quantum eigensolver) and quantum machine learning (for instance, through the use of quantum support vector machines and quantum variational classifiers). We will also give examples of how these techniques can be used in chemistry simulations and high energy physics problems. The focus of the course will be on the practical aspects of quantum computing and on the implementation of algorithms in quantum simulators and actual quantum computers (as the ones available on the IBM Quantum Experience and D-Wave Leap). No previous knowledge of quantum physics is required and, from the mathematical point of view, only a good command of basic linear algebra is assumed. Some familiarity with the python programming language would be helpful, but is not required either.
Here are some folder and exercises : Course deeplearning with pytorch udacity
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Material do curso Fundamentos da Internet das Coisas
Material de aulas e laboratórios para o curso de Aprendizado por Reforço.
Trilha Digital Data Science Santander Coders 2023
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
Historical data on AWS DeepRacer League virtual races
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
Introdução a Arquitetura e Programação GPUxGPU CUDA curso LNCC 2023
Neste repositório contém estudos de conceitos em estatística e probabilidade implementado exemplos hand-on em python
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
A Python package to assess and improve fairness of machine learning models.
FC_Stock
Binaries for FCND Simulator
FPGA Training Intel
Personal blockchain for Ethereum development
Curso I2A2 ABDI IA na Indústria. Conteúdo exclusivo da I2A2 com códigos de IA e roadmap realizado pelos colaboradores da I2A2.
For IBM Quantum Challenge 2021 (May 20 - 26)
For IBM Quantum Challenge Africa 2021, 9 September (07:00 UTC) - 20 September (23:00 UTC).
Quantum Challenge problem sets
FC_Stock
Esse repositorio é para o curso de difusão ofericido pelo ICMC/USP Introdução às redes neurais em grafos e suas aplicações em tarefas de aprendizado de máquina.