Popular GitHub Repositories for Polynomial Rings

Learning to create Machine Learning Algorithms

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings :+1:

Official Implementation of the CVPR'20 paper 'Π-nets: Deep Polynomial Neural Networks' and its T-PAMI-21 extension.

Machine Learning Concepts with Concepts

An unofficial Python (Numpy and Pytorch) implementation of "Polyblur: Removing mild blur by polynomial reblurring" by Mauricio Delbracio and collaborators.

High order and sparse layers in pytorch. Lagrange Polynomial, Piecewise Lagrange Polynomial, Piecewise Discontinuous Lagrange Polynomial (Chebyshev nodes) and Fourier Series layers of arbitrary order. Piecewise implementations could be thought of as a 1d grid (for each neuron) where each grid element is Lagrange polynomial. Both full connected and convolutional layers included.

Intel’s HERACLES accelerator introduces a new set of fundamental instructions, the Polynomial Instructions Set Architecture (P-ISA) that operates directly on polynomials requiring a completely new programming environment. This open-source project aims at developing the building blocks for a compiler toolchain for HERACLES.

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Selected problems and their solutions from the book on "Machine Intelligence in Design Automation"

Probabilistic Response mOdel Fitting with Interactive Tools

In this repository I implemented all assignments in python for the purpose of learning python

This repo contains the files created for machine learning using python

Building a Machine Learning Model to Predict the Price of the Car By Comparing Performance of Different Regression Techniques (Simple Linear Regression, Multiple Linear Regression, Polynomial Regression)

An example showing how to use Weaviate in a TypeScript/JavaScript project, including test data and embedder projection

Parameter-efficient transformer embeddings replace learned embeddings with hardware-aware polynomial expansions of token IDs.

Machine Learning algorithms implementation using Python

The ability to detect the trajectories of objects in a video sequence. It detects multiple, simultaneous trajectories in a scene, following the path of objects, including those that are only a few pixels in size.

Autonomous driving simulator using complex mathematical modelling

Model that uses 10 different algorithms to predict the revenue of a movie before it's release