PyTorch extensions for fast R&D prototyping and Kaggle farming
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Updated
Nov 21, 2024 - Python
PyTorch extensions for fast R&D prototyping and Kaggle farming
Image Test Time Augmentation with PyTorch!
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
Efficient explaining AI algorithms for Keras models
Wheat detection using Faster RCNN
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
Code for the paper: Improving Black-box Robustness with In-Context Rewriting
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
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