BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation …

Admin Dashboard UI built with Shadcn and Vite.

Histogram Layer Time Delay Neural Networks For Passive Sonar Classification

Method for Splitting the DeepShip Dataset

A Strict JSON Framework for LLM Outputs

In this repository, we present two new deep learning architectures based on spatio-temporal modeling for underwater signal classification.

Multiple pooling operators and transformations for fast and effective time series classification

Python library to pull data from ASX.com.au

Play with Sub1Ghz signals (300-348MHz, 387-464MHz, 779-928MHz). Scan, decode, store. Garage doors, barriers, IoT sensors...

Some baselines for Pommerman competition

Walk through an infinite, procedurally generated city

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Beta test version for Google Colab Notebook

RL starter files in order to immediatly train, visualize and evaluate an agent without writing any line of code

An implementation of HTR using TensorFlow 2.x