Florian Schmid's repositories
EfficientAT
This repository aims at providing efficient CNNs for Audio Tagging. We provide AudioSet pre-trained models ready for downstream training and extraction of audio embeddings.
EfficientAT_HEAR
Evaluate EfficientAT models on the Holistic Evaluation of Audio Representations Benchmark.
cpjku_dcase23
This repository contains the code of the CP JKU submission to DCASE23 Task 1 "Low-complexity Acoustic Scene Classification"
fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Language:PythonMIT000
hear-benchmark
Submission to leaderboard for HEAR benchmark
Apache-2.0000
unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Language:PythonMIT000