Pinned Repositories
2012-paper-diginorm
Paper source, analysis notebook, and data generation/analysis scripts for diginorm paper
dissertacao
marielle
MercadoVovoZefa
Projeto em Java para gerenciamento de mercados
monografia
spark-data-analysis
storm-data-analysis
superset
Superset is a modern, enterprise-ready business intelligence web application
twitter-stream-data-analysis
fcas's Repositories
fcas/scikit-survival
Survival analysis built on top of scikit-learn
fcas/lifelines
Survival analysis in Python
fcas/rockpool
A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
fcas/sequitur
Library of autoencoders for sequential data
fcas/TResNet
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
fcas/data-driven-code
Code related to session at PyCon Canada 2016
fcas/python-neuron
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons
fcas/neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
fcas/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
fcas/Neural
An API for Deep Learning
fcas/keras-tuner
A Hyperparameter Tuning Library for Keras
fcas/Heart_Disease
Machine Learning
fcas/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
fcas/the-elements-of-statistical-learning
My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman
fcas/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
fcas/scikit-learn-videos
Jupyter notebooks from the scikit-learn video series
fcas/tdb
Interactive, node-by-node debugging and visualization for TensorFlow
fcas/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
fcas/GreatCircle
A concise collection of classes for PHP, Python, JavaScript, Ruby and Go to calculate great circle distance, bearing, and destination from geographic coordinates
fcas/ThinkOS
Text and supporting code for Think OS: A Brief Introduction to Operating Systems, by Allen Downey.
fcas/ThinkComplexity
Code for Allen Downey's book Think Complexity, published by O'Reilly Media.
fcas/DataScience
Site for a Data Science class taught by Allen Downey
fcas/climin
Optimizers for machine learning
fcas/pandas-cookbook
Recipes for using Python's pandas library
fcas/neon_course
neon tutorials
fcas/mne-python-notebooks
IPython notebooks for EEG/MEG data processing using mne-python
fcas/jProcessing
Japanese Natural Langauge Processing Libraries
fcas/group_lasso
fcas/sentiment_classifier
Sentiment Classification using Word Sense Disambiguation
fcas/sentiment-analyzer
Tweets Sentiment Analyzer