This repository introduces Artificial Intelligence with a focus on Long Short-Term Memory Recurrent Neural Networks (LSTM-RNN). Initially intended as supplementary lecture material, it helps readers understand LSTM-RNN and its evolution since the 1990s. Modern research on LSTM-RNN uses updated notations and more concise derivations.

A deep learning library for use in high-performance computing applications in modern Fortran

2D Ising model phases classification using feedforward neural network.

[from-scratch] feed forward neural network that can recognize handwritten digets

A humple implementation of the NeuroEvolution of Augmenting Topologies[NEAT] algorithm written purely in Python3.

A system for creating neural networks in C

The repository contains all the codes of all practicals of ANN (SL-2) lab for the AIDS branch. The codes are according to problem statements given in the syllabus of SPPU. Download code and practice them to score good in your practical exams :)

Multilayer perceptron deep neural network with feedforward and back-propagation for MNIST image classification using NumPy

Simple feed-forward Neural Network library for C++

Feedforward Neural Network Classifier in C++ • Data Handling, Training, Prediction, and Evaluation

This project employs machine learning to forecast housing prices in California. By scrutinizing location, housing details, and demographics, it constructs various regression models like Linear Regression, KNN, Random Forest, Gradient Boosting, and Neural Networks. These models offer invaluable insights to optimize predictive real estate investment

This project focuses on detecting fake content generated by language models. The domain for this project is scientist biographies, where real biographies were sourced from Wikipedia, and fake ones were generated using a fine-tuned GPT-2 model.

Letters and numbers classifier for chess games using computer vision and neural networks.

Python implementation of a Feed-Forward Backpropagation neural network using only the standard library

This Repository consists of programs related to AI-ML-DL-NLP-CV. Few examples include - KNN, Naive Bayes, Decision Trees, EDA etc.

A series of machine learning trigger bots for Counter-Strike: Global Offensive (CS:GO).

Animation Tweening of 3D vertex data using a Feed-Forward Neural Network.

PyTorch implementation of logistic regression and feedforward neural networks (+ slides from my NLP course)

A machine learning trigger bot for Quake3 Arena & Quake Live.

Attempts to take an image of a face and convert it to a 3D head.