Luka Anicin
lucko515
Value driven and technology agnostic Machine Learning Engineer. Loves to create cool products and to educate others.
Languages
Top Repositories
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
The implementation of LSTM in TensorFlow used for the stock prediction.
This repository holds files for the simple chatbot wrote in TensorFlow 1.4, with attention mechanism and bucketing.
End-to-end image search engine based on the Deep learning techniques.
Different clustering approaches applied on different problemsets
Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
Repositories
74No description provided.
No description provided.
This is the main repository for the Book Search project. This engine allows you to search database of books by simply uploading an image of a cover.
DataScience Go Virtual conference - Building data applications (Streamlit version)
Machine Learning Tutor Python library
Infinite AI adventures await!
🏖 Easy training and deployment of seq2seq models.
This repository holds files for the simple chatbot wrote in TensorFlow 1.4, with attention mechanism and bucketing.
Recognizing common speech commands using Keras and Tensorflow.
This is the end-to-end Speech Recognition neural network, deployed in Keras. This was my final project for Artificial Intelligence Nanodegree @Udacity.
No description provided.
No description provided.
No description provided.
End-to-end image search engine based on the Deep learning techniques.
Create interactive dashboards for your Convolutional Neural Networks with a single line of code!
Here I've demonstrated how and why should we use PCA, KernelPCA, LDA and t-SNE for dimensionality reduction when we work with higher dimensional datasets.
The Agentic Commerce Protocol (ACP) is an interaction model and open standard for connecting buyers, their AI agents, and businesses to complete purchases seamlessly. The specification is currently maintained by OpenAI and Stripe.
Different clustering approaches applied on different problemsets
The example of using reinforcement learning algorithms in the business, specifically finding what ads to use in our campaign.
No description provided.
No description provided.
Tensorflow implementation of embed CNN-LSTM network for sentiment analysis task.
The implementation of LSTM in TensorFlow used for the stock prediction.
No description provided.
No description provided.
Implementation of a, simple, recurrent neural network used for a image classification.
The air cargo problem is one of many problems that we can easily solve using AI. Particularly here we are solving this problem using planning techniques from AI domain. This is a project from Artificial Intelligence Nanodegree @Udacity.
The fully connected neural network implemented in Numpy, from scratch, in Tensorflow and in Keras. The bonus code: Implementation of many different activation functions, in python, weight inits.
In this mini-project I have implemented LSTM network to classify movie reviews for sentiment analysis task.
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras