PyTorch extensions for fast R&D prototyping and Kaggle farming
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Updated
Oct 9, 2025 - Python
PyTorch extensions for fast R&D prototyping and Kaggle farming
[NeurIPS 2025] PyTorch implementation of [ThinkSound], a unified framework for generating audio from any modality, guided by Chain-of-Thought (CoT) reasoning.
HunyuanVideo-Foley: Multimodal Diffusion with Representation Alignment for High-Fidelity Foley Audio Generation.
Image Test Time Augmentation with PyTorch!
[ICLR 2026] TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching
Test Time image Augmentation (TTA) wrapper for Keras model.
Test-Time Augmentation library for Pytorch
AI Manga Reader is a next-gen manga app powered by the MangaDex API, offering vast multi-language content and flexible reading modes. It uses AI-powered OCR to extract and translate text from manga pages, combined with AI-driven text-to-speech narration—letting you effortlessly read and listen to any chapter or page, anytime, anywhere.
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
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.
A web-based code editor, compiler and debugger for the 16TTAC CPU
A curated collection of Test-Time Adaptation (TTA) papers, methods, and resources, updated monthly with the latest research.
To associate your repository with the tta topic, visit your repo's landing page and select "manage topics."