fitrialif Goto Github PK
Name: Mohd Fitri Alif Bin Mohd Kasai
Type: User
Bio: Data Scientist at Cre8iot
Location: Malaysia
Name: Mohd Fitri Alif Bin Mohd Kasai
Type: User
Bio: Data Scientist at Cre8iot
Location: Malaysia
This repo has keras CNN model
detecting distracted drivers
A Keras/TensorFlow + XGBoost ensemble Neural Network stack.
Ensemble stacking using Keras / Tensorflow. Used LSTM RNN, Logistic Regression & XGB Classifier for first level, and simple CNN for metalearning.
Tensorflow/Keras implementation of ensemble models for Kaggle Challenge (Voting Prediction)
Some work on Kaggle data for fun
Kaggle digit recognizer with deap is an implementation of genetic algorithm that tries to optimize model produced by lenet5 using this CNN option (learning rate, batch size, receptive field etc) as hyperparameters optimized by genetic algo
Kaggle Competition
VGG & Resnet Neural Networks for Kaggle's State Farm Distracted Driver Detection contest (Tensorflow)
Implementation of a CoDeepNEAT-style AutoML algorithm for developing neural net architectures
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano and TensorFlow.
Good example of Keras ANN, CNN, RNN including merge capabilities and LSTM
Keras implementation of AdaBound
Keras Generative Adversarial Networks
Implementation of Handwritten digits classification from MNIST on Android using Keras and TensorFlow.
How to run a Keras model on Android using Tensorflow API.
My neural network stuff with Keras
Reference implementations, Keras code and weights files, of popular deep learning models missing from keras-applications and keras-contrib
Reference implementations of popular deep learning models.
Keras implementation of Attention Augmented Convolutional Neural Networks
Attention mechanism Implementation for Keras.
keras project for audio deep learning
Collection of autoencoders written in Keras
A Bayesian Data Augmentation Approach for Learning Deep Models in Keras
Blog with Keras news, tutorials, and demos.
A practical example of image classifier with Keras 2.x and TensorFlow backend, using the Kaggle Cats vs. Dogs dataset. By taking advantage of Keras' image data augmentation capabilities (and also random cropping), we were able to achieve 99% accuracy on the trained model with only 2,000 images in the training set.
keras implementation of A Discriminative Feature Learning Approach for Deep Face Recognition based on MNIST
Collection of Keras models used for classification
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.