Pinned Repositories
-All-Algorithms-implemented-in-Rust-
All Algorithms implemented in Rust
AI-Discipline-Work
AI Discipline Work - Movie recommendation
AmazonSageMakerCourse
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyper
article_apply_test_in_jupyter_notebook
Article apply test in jupyter notebook
Blueflix
Simple Application Recommend Movies and Tv Shows
change_function_declaration_jupyter
Using change function declaration method, inside a function in jupyter notebook
communicate_between_containers
Create a volume between two containers
design_pattern_bridge
Develop a system that uses the pattern given in class. "Bridge" design pattern.
os_cheese_bread
Development environment setup
udemy_course_mastering_ollama_build_private_local_llm_apps_with_python
Udemy Course Mastering Ollama Build Private Local LLM Apps with Python
sc0v0ne's Repositories
sc0v0ne/design-pattern-proxy
Develop a system that uses the pattern given in class. "Proxy" design pattern.
sc0v0ne/design_pattern_chain_of_responsibility
Develop a system that uses the pattern given in class. "Chain of responsibility" design pattern.
sc0v0ne/design_pattern_factory_method
Develop a system that uses the pattern given in class. "Factory Method" design pattern.
sc0v0ne/design_pattern_memento
Develop a system that uses the pattern given in class. "Memento" design pattern.
sc0v0ne/design_pattern_prototype
Develop a system that uses the pattern given in class. "Prototype" design pattern.
sc0v0ne/design_pattern_state
Develop a system that uses the pattern given in class. "State" design pattern.
sc0v0ne/design_pattern_visitor
Padrão "Visitor". Desenvolver um sistema, que utilize o padrão dado em aula.
sc0v0ne/ML-Recipes
A collection of stand-alone Python machine learning recipes
sc0v0ne/pointnettri
Source code for "PointTriNet: Learned Triangulation of 3D Point Sets", by Nicholas Sharp and Maks Ovsjanikov at ECCV 2020