This is a repository for project in MO810 course-1s2018 IC-UNICAMP. The project is about implement DQN, ES and policy gradients for Pong and Catch game.

Caixa Geral de Depósitos (CGD Bank) on a Jupyter Notebook - import your csv movements and watch the magic happen

Implementing Convolutional Neural Network on IMDB gender dataset using Keras on Python.

Art to Image Style Transfer using Keras

Analysis tools for CP2K and other simulation software

BipedalWalker - AI teaching itself to walk

ChainerCV on Google Colaboratory

QuickCNN is high-level library written in Python, and backed by the Keras, TensorFlow, and Scikit-learn libraries. It was developed to exercise faster experimentation with Convolutional Neural Networks(CNN). Majorly, it is intended to use the Google-Colaboratory to quickly play with the ConvNet architectures. It also allow to train on your local…

Run the dl4j-examples on Goolge colab

Sentiment analysis on T-series vs Pewdiepie Tweets

Retrain a Neural Network to Identify Porto's Landmarks

Pwned Password API lookup for Google Colaboratory

言語処理100本ノック

This repository holds necessary codes, documentations, and credentials for the prototyping and development of the IoT platform of Bulk Density sensor

RL in Keras

Deep Learning Music Generation Project in Python and TF-Keras. We investigated LSTM architecture and preprocessing technique to generate music in the style of EDM, Folk, and Rock music genres.

Binary Image Classifier classifier to differentiate the given image has a human or not.

Identify the most dominant color (Hex format) in a given image, and eliminate the neutral colors.

This is a Practice from the Hands On Machine Learning book by Aurélien Géron using Kaggle and Drive