Adonay Nunes's repositories
MultiSource_Beamformer
Multiple Constrained Minimum Variance (MCMV) beamformer
DeepLabCut
Markerless pose estimation of user-defined features with deep learning for all animals, including humans
DeepLearningForTimeSeriesForecasting
A tutorial demonstrating how to implement deep learning models for time series forecasting
Fingers-Detection-using-OpenCV-and-Python
A simple Fingers Detection (or Gesture Recognition) using OpenCV and Python with background substraction 简单手势识别
handtracking
Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow
InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
learnopencv
Learn OpenCV : C++ and Python Examples
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
meeter_code
code for meeter paper
mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
mne-study-template
Template for a group study using the MNE Python software
pyls
A Python implementation of Partial Least Squares (PLS) decomposition
pytorch-timeseries
PyTorch implementations of neural networks for timeseries classification
sensory_PAC
MATLAB scripts for detecting and validating phase amplitude coupling (PAC) in electrophysiological data
Stock-Performance-Predictor-2.0
Stock Fundamental Analysis using Machine Learning Classification Models
stock-trading-ml
A stock trading bot that uses machine learning to make price predictions.
stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)