All the code for a series of Medium articles on Approximate Nearest Neighbors
Using Self-Organizing Maps for Travelling Salesman Problem
Email Spam-detection is an ANN app with TensorFlow. The idea is simple - given an email you’ve never seen before, determine whether or not that email is Spam
A JIT compiled chess engine which traverses the search tree in batches in a best-first manner, allowing for neural network batching, asynchronous GPU use, and vectorized CPU computations.
Implementation of Artificial Neural Networks using NumPy
CUDA implementation of Hierarchical Navigable Small World Graph algorithm
Rainfall analysis of Maharashtra - Season/Month wise forecasting. Different methods have been used. The main goal of this project is to increase the performance of forecasted results during rainy seasons.
In This repository I made some simple to complex methods in machine learning. Here I try to build template style code.
Using Extended Cohn-Kanade AU-Coded Facial Expression Database to classify basic human facial emotion expressions using ann
Efficient similarity search and clustering for Ruby
Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons