Codes in Machine Learning, Deep Learning, Reinforcement Learning, Artificial Intelligence and Computer Vision
Welcome to my GitHub repo.
I am a Data Scientist and I code in Python. Here you will find some Machine Learning, Deep Learning, Natural Language Processing, Artificial Intelligence and Computer Vision models I developed.
Outputs of the models can be seen at my portfolio: https://drive.google.com/file/d/0B0RLknmL54khdjRQWVBKeTVxSHM/view?usp=sharing
Data for models available at:
https://drive.google.com/drive/folders/0B0RLknmL54khU2UwX3dnX1E1WHc?usp=sharing
Keras version used in models: keras==2.0.8 Tensorflow version used in models: keras==1.3.0
DEEP LEARNING SUMMER SCHOOL - GANs
In this folder you will find Tensorflow and Keras codes and also a Powerpoint presentation about GANs I developed for my lecture and workshop at the first Deep Learning Summer School in Brazil, at Goiás.
EC2 INSTANCE SETUP
A set up Manual I developed to create EC2 instances in Amazon AWS
KERAS
GANs: Generative Adversarial Networks
DCGANs: Deep Convolutional Generative Adversarial Networks
OPENCV
In this folder you will find a guide to create your own haarcascade.xml so that you can identify any object using OpenCV.
TENSORFLOW
Model for Regression
Model for Classification
LSTM: Long Short Term Memory Neural Networks
GANs: Generative Adversarial Networks
DCGANs: Deep Convolutional Generative Adversarial Networks
InfoGANs Mutual Information Adversarial Networks where loss function is customized. Mutual Info = H(B)-Sum(P(B=b).H(A|B=b)
Tensorboard: visualization of Tensorflow models' training
SEG-NET : Image Segmentation with SEG-NET
SMOTE : Synthetic Minority Oversampling Technique for imbalanced classes
Datasets available at Repo-2017
