dbustosp's repositories
100-Days-Of-ML-Code
100 Days of ML Coding
awesome-graph
A curated list of resources for graph databases and graph computing tools
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
deep_learning_ai_specialization
Exercices and work done during the Deep Learning Specialization dictated by professor Andrew Ng.
UDACITY_MLND
Udacity Machine Learning Nano Degree Projects
coding-interview-university
A complete computer science study plan to become a software engineer.
data-transfer-project
The Data Transfer Project makes it easy for people to transfer their data between online service providers. We are establishing a common framework, including data models and protocols, to enable direct transfer of data both into and out of participating online service providers.
docker-client
A simple docker client for the JVM
handson-ml
Hands on Machine Learning Book
kafka-topics-ui
Web Tool for Kafka Topics using Kafka Rest |
localstack
💻 A fully functional local AWS cloud stack. Develop and test your cloud & Serverless apps offline!
macbooksetup
New MacOS setup for developers
multibinder-spring-cloud-stream-example
Project created in order to show how to create multibinder spring cloud stream applications
nlp-with-transformers-notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
Open-Assistant
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
python-patterns
A collection of design patterns/idioms in Python
pytorch
Repository to document my getting started with PyTorch
testcontainers-java
Testcontainers is a Java library that supports JUnit tests, providing lightweight, throwaway instances of common databases, Selenium web browsers, or anything else that can run in a Docker container.
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.