Keras implementation of Deep Convolutional Generative Adversarial Networks, code run base on tensorflow or theano
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Updated
Feb 22, 2017 - Python
Keras implementation of Deep Convolutional Generative Adversarial Networks, code run base on tensorflow or theano
Synopsys Science Fair Project 2016
This is a neural network that performs xor operation just by learning from data that is input
Using pygame to create a 2d pong game, then using gym and tensorflow to read the pixels on the screen using a CNN and then model the actions with a Qlearning RNN to beat the ai opponent
Quasi-recurrent Neural Networks for Keras
Cloning driver behavior using end-to-end deep neural-networks
My continuing work on the Numer.ai machine learning challenge.
Driver Distraction Detection using Machine Learning
Not my own work, just following fun youtube tutorials!
Where all the state-of-the-art computer vision Algorithms meet
一定要先看 readme !!!!!
This package is main for translate word into vector for nlp embedding. maybe chinese maybe english, any language you want to use is ok. This is main for those who will use word2vec in local from txt files. In particular, this implementation primarily helps to construct a separate word vector matrix for embedding in local NLP tasks.
my code for paper Self-supervised Sample Mining with Switchable Selection Criteria for Object Detection
This repository shows how to host the Keras model using Tensorflow serving and a client for the hosted model.
Triple Three Engine (3T) is a Tic Tac Toe engine. It uses Machine Learning (ML) to predict the best move in a given Tic Tac Toe position. It can be trained to predict the best move in any board size, although the default is a 3 by 3 board.
my work on NN in various subjects
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