Nazmi Asri's repositories
FirebaseRecyclerViewTutorial
How to create a CardView layout and display in RecyclerView using data from your Firebase Database.
LSTM-Keras-S-P500-data
LSTM Keras S&P500 data
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.
Analyzing_Medium
The Selenium scraper used to collect data from one million Medium articles.
Android-Studio-Bluetooth
Android Studio Bluetooth
Android-Studio-Likert-Scale-
Android Studio Likert Scale
coursera-mathematics-for-ml
Code of the solutions of the Mathematics for Machine Learning course taught in Coursera.
deep-image-prior
Image restoration with neural networks but without learning.
dlaicourse
Notebooks for learning deep learning
facebook-snooper
Scrapes Facebook profile pages using a normal login (without an API key)
Ionic-Advanced---Cordova
Ionic Advanced - Cordova
Ionic-Baby-App
Ionic Baby App
Just-Kaggling-No-Bullshit
We are going to have this weekly meetup to discuss and solve Kaggle's problem. No other bullshit, we just Kaggling
katacoda-scenarios
Katacoda Scenarios
LSTM-on-S-P500
Please check on this
Machine-Learning-and-Deep-Learning-TensorFlow
Machine Learning and Deep Learning TensorFlow. I am storing all my notebooks regarding ML and DL here.
macOS-eGPU-CUDA-guide
Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU
MPI_CUDA_Training
MPI_CUDA_Training
nazmiasri95.github.io
Build a Jekyll blog in minutes, without touching the command line.
Perak-Meetup-Linear-Regression---Boston-Housing-Dataset
Linear Regression - Boston Housing Dataset
python-patterns
A collection of design patterns/idioms in Python
semantic-text-similarity
an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.
teachable-machine-boilerplate
Boilerplate code for Teachable Machine
teachable-machine-v1
Explore how machine learning works, live in the browser. No coding required.
TGS-SaltNet
Kaggle | 22nd place solution for TGS Salt Identification Challenge