perceptron, backprop, RBF, SOM, hopfield nets, autoencoders (no external ML libs)
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Updated
Feb 11, 2020 - Jupyter Notebook
perceptron, backprop, RBF, SOM, hopfield nets, autoencoders (no external ML libs)
Discover the main building blocks of neural networks and understand the three main neural network architectures. Explore the process of solving a regression data problem
Simple gRPC server for vector searching implemented by Python and Faiss
Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and con…
The goal is to make an Artificial Neural Network that can predict, based on geo-demographical and transactional information given above, if any individual customer will leave the bank or stay (customer churn). Also, rank all the customers of the bank, based on their probability of leaving.
Naive implementations of some ANNS (Approximate Nearest Neighbor Search) algorithms without any optimization and generalization.
In this Repository, we intend to implement the DQN and also the DDQN algorithm in case of training an agent to solve the Lunar-Lander problem. there are lots of exciting results after training which have been attached.
This repository contains materials and course projects during attending the Intelligent Systems Course, for more detailed information please have a look at my Final_Report files which have been separately uploaded for each of the projects and consist of all required information about the implementations, analyses, and anything else you may conce…
The front page to shotit.github.io
Provide meta information and utility for shotit, for example, image proxy, cast and poster etc.
Sort the search results of Shotit to increase the correctness of Top1 result by using Keras and Faiss.
The README profile of Shotit.
Four core workers of shotit: watcher, hasher, loader and searcher.
Media broker for serving video preview for shotit
The ultimate brain of Shotit, in charge of task coordination.
Data Mining Course @ The Open University
AI@UCF's custom-made course, organized by semesters
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