akmalsabri's repositories
10-steps-to-become-a-data-scientist
📢 Ready to learn or review your knowledge! You will learn 10 skills as data scientist: 📚 Python, Machine Learning, Deep Learning, Data Cleaning, EDA, python packages such as Numpy, Pandas, Seaborn, Matplotlib, Plotly, Tensorfolw, Theano...., Linear Algebra, Big Data, Analysis Tools and solve some real problems such as predict house prices.
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-machine-learning-on-source-code
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
awesome-ml-for-cybersecurity
:octocat: Machine Learning for Cyber Security
cs231n.github.io
Public facing notes page
Data-Analysis
Data Science Using Python
Deep-Learning-with-Keras
Code repository for Deep Learning with Keras published by Packt
deep-stock
Deep Learning for Stock Market
geo_pattern
Create beautiful generative geometric background images from a string.
Getting-Started-with-TensorFlow
Getting Started with TensorFlow, published by Packt
google-research
Google AI Research
keras-retinanet
Keras implementation of RetinaNet object detection.
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
NeuralCook
Deep learning application to identify ingredients from cooking dishes images and recommend dishes to cook, given a set of ingredients. This application leverages NLP and Computer Vision to learn semantic knowledge using joint embeddings.
Practical-Deep-Learning-Applied-to-Time-Series
Practical Deep Learning resources for Time series analysis and forecasting
practical-machine-learning-with-python
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Python-for-Finance-Cookbook
Python for Finance Cookbook, published by Packt
python-is-cool
Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.
timeseriesAI
Practical Deep Learning for Time Series / Sequential Data library based on fastai v2/ Pytorch