Name: Umberto Griffo
Type: User
Company: @promaton
Bio: I'm a Software Engineer in continuous learning about Machine Learning, Data Engineering, and Software Design.
Location: Lisbon, Portugal
Umberto Griffo's Projects
https://umbertogriffo.gitbook.io/apache-spark-best-practices-and-tuning/
LivingSocial API Design Guide
Open source and customizable AI architecture
Simple Online Realtime Tracking with a Deep Association Metric
DNF is a format for representing static and dynamic networks.
Simulation of algorithms on Evolving Dynamic Network.
Zalando's article images Recognition using Convolutional Neural Networks in Python with Keras.
Fast Near-Duplicate Image Search and Delete using pHash, t-SNE and KDTree.
Binary and Categorical Focal loss implementation in Keras.
A Python Perceptual Image Hashing Module
A series of convenience functions to make basic image processing operations such as translation, rotation, resizing, skeletonization, and displaying Matplotlib images easier with OpenCV and Python.
My solutions that uses Keras (81st place LB 0.99046).
Installing Development environment on macOS
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
Minimalistic Multiple Layer Neural Network from Scratch in Python.
This plugins allows to generate graphs using Random Waypoint and Truncated Lévy Walk Mobility Models.
Supplementary material for the article "Model Evaluation, Model Selection, and Algorithm Selection in Machine Learning"
100 numpy exercises (100% complete)
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
pyspark-shared-spark-session-helper
RAG (Retrieval-augmented generation) ChatBot that provides answers based on contextual information extracted from a collection of Markdown files.
A Mixed Trie and Levenshtein distance implementation in Java for extremely fast prefix string searching and string similarity.
Calculates the Weighted Cluster Coefficient for every node and the average value.