Akbari's repositories
article-resources
A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci
blood-glucose-prediction
Blood glucose prediction using long short-term memory recurrent neural networks.
Conditional-PixelCNN-decoder
Tensorflow implementation of Gated Conditional Pixel Convolutional Neural Network
create-a-predictive-system-for-image-classification-using-deep-learning-as-a-service
A system to predict and classify images using deep learning as a service
data-science-from-scratch
code for Data Science From Scratch book
datascience_notebooks
Datacamp's Data Science Track: comprehensions, plots, pandas, hacker statistics
DataScienceCourse
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
dataset-watchdog
A tutorial of dataset management.
finetune-transformer-lm
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
FurnitureGo
we introduce a new application that used for designing homes furniture, such as changing the places of the furniture and coloring it virtually Based on Augmented Reality without waste of cost and time, these object ll be uploaded by furnitures companies which it helps them to reduce an advertising cost.Augmented Reality AR is a tool that shows a virtual object in a real world. There are many tools for AR, we use Wikitude AR because it supports many platforms. Firebase is a cloud database which Companies can upload their object and it can be downloaded by user
heroku-python-ml-example
Example of deploying a machine learning model as a Python web app on Heroku
hugo-academic
The website designer for Hugo. Build and deploy a beautiful website in minutes :rocket:
Learning-Python-for-Data-Science
Code Repository for Learning Python for Data Science, Published by Packt
Machine-Learning-from-Scratch
Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.
Machine_Learning_2018
Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz
machine_learning_in_python
Demo of basic machine learning models in python with Jupter Notebook
nlp_course
YSDA course in Natural Language Processing
python-interview-questions
300+ Python Interview Questions
python_ml_tutorial
A complete tutorial in python for Data Analysis and Machine Learning
Recommender-System-Datasets
A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.
rwa
Machine Learning on Sequential Data Using a Recurrent Weighted Average
tesseractMRZ
Ready-to-use MRZ (Machine-readable zone) and dataset and models for tesseract v4