Hunar Ahmad

particle-life. A simple program to simulate artificial life using attraction/reuplsion forces between many particles

mandelbrot. Simple Mandelbrot

RLS-neural-net. Recursive Leasting Squares (RLS) with Neural Network for fast learning

reweight-gpt. Reweight GPT - a simple neural network using transformer architecture for next character prediction

find-global-maximum. Simulation of life like characters and several learning algorithms to test the ability of each algorithm to enable the characters reaching global maximum with minimum effort

genetic-algorithm. A simple evolutionary algorithm (Simultaneous update of all the weights)

burn-app. This is a medical app. It calculates the total surface body area of the burn according to the rule of 9

Simulations_Evolution. Educational demos of simple simulated environments showcasing the effect of natural selection.

top-down-prediction. A new brain puzzle game based on information theory.

multiple-regression. A simple intuitive method for multiple regression

reweight_gpt_nonlinear. GPT with direct learning of the attention matrix. Adapted from Karpthy's nano-GPT

stable-diffusion-klms-gui. Jupyter Notebook

Simple_ANN. Simple single layered ANN trained using closed-form solutions and ELM method

particle_life.github.io.

xor_simple_nn_cpp. simple neural network from scratch in cpp to solve cpp

cellular_automata. Predicting cellular automata with a simple neural network

kalman_python_cpp. Source code for https://www.youtube.com/playlist?list=PLvKAPIGzFEr8n7WRx8RptZmC1rXeTzYtA

xor_simple_neural_net_cpp. Minimal neural network implementation from scratch using C++

nanoGPT. The simplest, fastest repository for training/finetuning medium-sized GPTs.

compressing-numbers. C++

cv-dataset. Metadata and versioning details for the Common Voice dataset

hopefield_network. A simple hopefield network using node like structures in javascript

mnist-from-scratch. Code for training basic neural networks, especially the MNIST numbers dataset.

neural-network. minimal neural network implementation from scratch using matlab