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2022-cicd

2023-fastapi

ab-testing

A/B tests are very commonly performed by data analysts and data scientists. It is important that you get some practice working with the difficulties of these. For this project, you will be working to understand the results of an A/B test run by an e-commerce website. Your goal is to work through this notebook to help the company understand if they should implement the new page, keep the old page, or perhaps run the experiment longer to make their decision.

algorithms-python

Hands-On Data Structures and Algorithms with Python Second Edition, published by Packt

algorithms_library

Minimal examples of data structures and algorithms in Python

attention-pytorch

Pytorch implementation of various Attention Mechanism

basic_reinforcement_learning

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

betterpython

Code examples for my Write Better Python Code series on YouTube.

bike_rental_system

A full fledged bike rental system implemented in Python using object oriented programming

blockchain

Simple blockchain structure demonstration

capsnet

A pytorch implementation of Capsule Network.

capsule-network-tutorial

Pytorch easy-to-follow Capsule Network tutorial

chatbot

Building a Simple Chatbot from Scratch in Python (using NLTK)

code_snippets

consumeapis-grpc

This the official repository for consumeAPIs: Mock Objects and Unit Testing

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

dcrnn

Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow

deep-learning-predicting-breast-cancer-tumor-malignancy

Predicting Cancer Malignancy with a 2 layer neural network coded from scratch in Python.

deep-reinforcement-learning-algorithms-with-pytorch

PyTorch implementations of deep reinforcement learning algorithms and environments

design-patterns

Common GOF Patterns implemented in Python

dl

Learn Pytorch framwork by running code line by line

docker

All course files for the Docker Crash Course tutorial on the Net Ninja site & YouTube channel.

ds-ml

Repository for CS 506 / ENG 500 as taught by Mark Crovella - BU Computer Science

dsanet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

farm-stack

This is the FARM Stack course, where you are going to learn how to build an application from scratch using FASTAPI, React and mongoDB

fastapi-tutorial

This is a repo to accompany a FastAPI tutorial series

from-0-to-research-scientist-resources-guide

Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.

git_tutorial

This git repo is primarily used for my learning of git control

gitpractice

graph-convolutional-networks

Graph Convolutional Networks in PyTorch