Computerized Knowledge Engine/Answer Engine in Python 3
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Updated
Feb 4, 2020 - Python
The branch of computer science dealing with the reproduction, or mimicking of human-level intelligence, self-awareness, knowledge, conscience, and thought in computer programs.
Computerized Knowledge Engine/Answer Engine in Python 3
This project demonstrates the prediction of wine quality using various models. One of the models used is an Artificial Neural Network Model that was built without the use of any inbuilt models. Other pre-made modules were used as comparative models in our project.
A repository containing the source code for the Machine Intelligence Laboratory Course (UE20CS302) at PES University
Repo to play around with machine learning, neural nets, and AI
Text segmentation solution using natural language processing.
Deep Learning - Ian GoodFellow - Book PDF
Solution of Machine Intelligence (CMP402) labs
a collection of functionality for making artifical intelligences that can play games. currently built for windows.
This project involves the implementation of efficient and effective RBF SVC on MNIST data set. The MNIST data comprises of digital images of several digits ranging from 0 to 9. Each image is 28 x 28 pixels. Thus, the data set has 10 levels of classes.
Machine learning algos I've written in MATLAB over the years, including some BCI experiment code.
This project contains the publc test data set to try and learn how to use cloud-based agents in Agenty.
Raspberry Pi 4 Unsupervised Real-Time Anomaly Detection for Streaming Data
A Logic Gate Simulator Using Artificial Deep Neural Networks
Introduccion a Machine Learning: Sistemas de regresión & clasificación, algoritmos de clusterización, sistemas de recomendación, Machine Learning. Autor: Paulino Esteban Bermúdez R.
Sign Language interpreter with Neural Network.
ganesh kavhar python tutorials with examples...
A state machine framework aimed for machine intelligence
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It can use GPUs and perform efficient symbolic differentiation.
A repo for my Honors Research