Stars
This work contains implementation of Kalman Filter, Extended Kalman Filter and Particle Filter in python from scratch.
A library to calculate Market Profile (aka Volume Profile) for financial data from a Pandas DataFrame.
MATLAB and Python 2.7/3 Implementations of the JVHW entropy and mutual information estimators in Jiao, Jiantao, Kartik Venkat, Yanjun Han, and Tsachy Weissman. "Minimax estimation of functionals of…
Utilities for working with image data, text data, and sequence data.
Notebooks for learning deep learning
A MNIST-like fashion product database. Benchmark 👇
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
https://github.com/ageron/handson-ml2
The 3rd edition of course.fast.ai
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
An Open Source Machine Learning Framework for Everyone
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Docker Mastery Udemy course to build, compose, deploy, and manage containers from local development to high-availability in the cloud
Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera
Search Github users - React hooks & context
Ranking and ordinal regression algorithms in Python
Repository for coursera specialization Applied Data Science with Python by University of Michigan
Live covid19 analysis using flask, html and bootstrap. Consists of interactive charts, maps and covid19 summary.
How to create a dynamic grouped bar chart with Flask, on localhost
Use Plotly.js to build interactive charts for our dashboard and deploy webpage by Heroku. (SQL Alchemy, flask, bootstrap framework)
This is the code that was used for the blog
Flask Charts Youtube Tutorials
Fulltext searchable models for SQLAlchemy. Only supports PostgreSQL
Working with Data and APIs in JavaScript