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aadharuid

ai-and-soft-computing

Basics of AI including PyPlot tutorials, Fuzzy Logic, Genetic Algorithms, Bayesian Networks, Perceptrons and NN's.

ai_book_exercises

Exercises for the book Artificial Intelligence: A Modern Approach

ai_book_python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

bioinformatics

Foundational Bioinformatics Algorithms

cisceresults2013

Scripts and Data about the ISC and ICSE results 2013 for all schools.

coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

design-tools

The best design tools for everything.

digit-recognition-keras-tf

A small Deep Learning code snippet using the MNIST database for digit recognition, making use of Keras and TensorFlow in Python.

dl-pytorch

An introduction to Deep Learning using Pytorch

dsc-tiu-exercises

The exercise sets for all sessions on ML and Python, along with their solutions. Feel free to fork, check, and/or tweak them to get full understanding.

eda-cloud-qos

fraud-detection

To detect fraud in financial transactions and develop models to predict the fraudulent transactions.

geospatial-insights

Jupyter notebooks for gaining geospatial insights

github-resume-builder

Resumes generated using the GitHub informations

infer.net

Infer.NET is a framework for running Bayesian inference in graphical models

latex-guides-and-templates

A comprehensive collection of LateX templates and guide books, for all intents and purposes.

markdown-and-emoji-cheatsheet

A markdown version emoji cheat sheet

ml-workflow-iris

A Comprehensive ML Workflow with Python

n-queen-solutions

Some very comprehensive solutions to the N-Queens Problem.

object-detection-deep-learning

A paper list of object detection using deep learning.

object-detection-imageai

Basic object detection using ImageAI python library and the RetinaNet model.

papers-with-code

Papers with code. Sorted by stars. Updated weekly.

podcasts

🎙 Curated podcasts for designers, developers, product managers, entrepreneurs and hustlers

prophet

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

pytorch_challenge

regression-classification-keras

Demonstration of how to use the Keras library in Deep Neural Networks to solve Regression as well as Classification Problems.

smp-methodology

SMP using AI/ML/Data Science Approaches

smp-risk-analysis

Analysis of the Risk involved in Stock Market Predictions, by varied methods.

sort-search-cipher-algorithms

All Algorithms implemented in Python