Pinned Repositories
am207-NILM-project
Repo for am207 final project
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
data-analysis
Data analysis projects from real (and public) datasets solving regression, classification, text mining, clustering.
education
Materials and resources of studies in Computer Science.
machine-learning
Experiments, algorithms and reports in machine learning reseach.
Medical
phd-thesis
pynilm
Machine Learning modeling and data analysis in non-intrusive load monitoring (NILM) made easy using Python.
qs-code
software-development
diegocavalca's Repositories
diegocavalca/machine-learning
Experiments, algorithms and reports in machine learning reseach.
diegocavalca/education
Materials and resources of studies in Computer Science.
diegocavalca/phd-thesis
diegocavalca/qs-code
diegocavalca/data-analysis
Data analysis projects from real (and public) datasets solving regression, classification, text mining, clustering.
diegocavalca/lp3-code
diegocavalca/pynilm
Machine Learning modeling and data analysis in non-intrusive load monitoring (NILM) made easy using Python.
diegocavalca/am207-NILM-project
Repo for am207 final project
diegocavalca/artificial-intelligence
diegocavalca/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
diegocavalca/software-development
diegocavalca/Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
diegocavalca/diegocavalca.github.io
diegocavalca/differentiable-plasticity
Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.
diegocavalca/EC-Bestiary
A bestiary of evolutionary, swarm and other metaphor-based algorithms
diegocavalca/h2o-3
Fast Scalable Machine Learning API For Smarter Applications (Deep Learning, GBM, GLM...)
diegocavalca/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
diegocavalca/mestrado
diegocavalca/multi-nilm
Multi-NILM: Multi Label Non Intrusive Load Monitoring
diegocavalca/nilmtk-contrib
diegocavalca/online-nilm
Code for the experiments in "Sliding Window Approach for Online Energy Disaggregation Using Artificial Neural Networks"
diegocavalca/Plaid_test
NILM
diegocavalca/Principal-component-analysis-PCA-
Step by step explanation of Principal Component Analysis in python
diegocavalca/Projects
diegocavalca/pyestbook
diegocavalca/PyMySQL
Pure Python MySQL Client
diegocavalca/serenata-de-amor
🕵 Artificial Intelligence for social control of public administration
diegocavalca/stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
diegocavalca/Sunshine-Version-2
The official repository for Developing Android Apps
diegocavalca/trilha-python
Curso "introdutório" à linguagem Python