The RAG Experiment Accelerator is a versatile tool designed to expedite and facilitate the process of conducting experiments and evaluations using Azure Cognitive Search and RAG pattern.

Efficient matrix representations for working with tabular data

[ACCV22] Structure Representation Network and Uncertainty Feedback Learning for Dense Non-Uniform Fog Removal, https://arxiv.org/abs/2210.03061

The main aim of this project is to built a predictive model using G Store data to predict the TOTAL REVENUE per customer that helps in better use of marketing budget.

Pistachios are nutritious nuts that are sorted based on the shape of their shell into two categories: Open mouth and Closed mouth. The open-mouth pistachios are higher in price, value, and demand than the closed-mouth pistachios. Because of these differences, it is considerable for production companies to precisely count the number of each kind.

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

Free WordPress Plugin: This volume calculator uses a density formula ρ = m/V to find densities of different substances and objects. It calculates the third one for two given values - density, mass, or volume of a substance. www.calculator.io/density-calculator/

PIM-DM multicast routing protocol implementation (RFC3973)

ML Codefest

Continuation of the original pimd-dense from 1998-1999, gaps filled with frog DNA from pimd

CP-APR Tensor Decomposition with PyTorch backend. pyCP_APR can perform non-negative Poisson Tensor Factorization on GPU, and includes an interface for anomaly detection using the extracted latent patterns.

Hand-written-digital-recognition

This repository is dedicated to collecting blog posts and articles on the implementation of state-of-the-art techniques in semantic search, dense retrieval, and retrieval augmented generation (RAG).

Artificial neural networks coded in c++.

Package provides a simple interface to parse and use the MNIST database

I used the MNIST dataset for the implementation of a handwritten digit recognition app. To implement this, will be using a special type of deep neural network called Convolutional Neural Networks. In the end, I also build a Graphical user interface(GUI) where you can directly draw the digit and recognize it straight away.

Implementation of Artificial Neural Networks using NumPy

Intrusion Detection System - IDS example using Dense, Conv1d and Lstm layers in Keras / TensorFlow

Basic_CNN_Implementation