PyTorch extensions for fast R&D prototyping and Kaggle farming

Image Test Time Augmentation with PyTorch!

A test times augmentation toolkit based on paddle2.0.

Test Time image Augmentation (TTA) wrapper for Keras model.

ODA is a test-time-augmentation(TTA) tool for 2D object detectors. For use in Kaggle competitions.

telegram bot for self-hosted local inference of stable diffusion, text-to-speech and large language models, such as llama3

Nagios Plugin to check Call Quality in SIP VoIP (compatible checkmk, etc)

Spreadsheet style FLAC, MP3 music tag editor for Windows.

Efficient explaining AI algorithms for Keras models

Wheat detection using Faster RCNN

Powerful plugin API including many features while supporting all versions from 1.7 to 1.19.

A web-based code editor, compiler and debugger for the 16TTAC CPU

Engage in a semantic segmentation challenge for land cover description using multimodal remote sensing earth observation data, delving into real-world scenarios with a dataset comprising 70,000+ aerial imagery patches and 50,000 Sentinel-2 satellite acquisitions.

Deforestation Segmentation

A tool with nice GUI to visualize the codon usage frequencies in whole genomes

Various lossless to FLAC

Test-Time Augmentation library for Pytorch

16 Bit Transport Triggered Architecture CPU Simulator

Test time augmentation with Tensorflow keras models for segmentation tasks. This package also enables creation of keras layers for GPU acceleration

Test Time Augmentation for Deep Learning Inference