Rodrigo Romero's Projects
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
Generative AI podcast of ArXiv papers
A fast auto differentiation engine implemented in C++ π₯
Classifying 450 different species of birds using @pytorch :bird:
U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI
Learning how to use docker with a node app.
Generative Agents: Interactive Simulacra of Human Behavior
A launch point for your personal nvim configuration
Predicting the success of Kickstarter Projects. π²
Trained the LeNet convolutional neural network model using the CIFAR-10 colorful image dataset. Added slight modifications such as batch normalization and dropout to the model.
Building classification models for life sciences datasets.
Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.
Detecting brain tumors with professional grade accuracy using UNET :brain:
Large scale 4D parallelism pre-training for π€ transformers in Mixture of Experts *(still work in progress)*
Portfolio rebalancing solution using pandas and numpy. The rebalancing recommendations are based on the Efficient Frontier.
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Just random machine learning stuff that I implement. π²
AΒ demo repository for My JSON Server (Alpha)
Round Robin: CPU Scheduling Algorithm
My blog
Website to rent and buy book.
scikit-learn: machine learning in Python
Communicate with others in the browser using American Sign Language (ASL) through the power of computer vision :eye:
Classifying emails messages as spam or ham.