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Starred repositories
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Official PyTorch implementation of the paper "Dataset Distillation with Neural Characteristic Function" (NCFM) in CVPR 2025.
Official Implementation of the paper "XLSR-Mamba: A Dual-Column Bidirectional State Space Model for Spoofing Attack Detection"
Awesome Incremental / Continual / Lifelong Generative Learning
A curated list of Multi-Modal Reinforcement Learning resources (continually updated)
A family of state-of-the-art Transformer-based audio codecs for low-bitrate high-quality audio coding.
Robustness and adaptation of ImageNet scale models. Pre-Release, stay tuned for updates.
This repo contains code used in the paper "Characterizing the temporal dynamics of universal speech representations for generalizable deepfake detection"
[ACL 2024] Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation
This project aims to collect the latest "call for reviewers" links from various top CS/ML/AI conferences/journals
Official code for "Continual Learning in the Frequency Domain" (NeurIPS 2024)
Baselines for IS25 Source Tracing Special Session
This repository implements SummaryMixing, a simpler, faster and much cheaper replacement to self-attention for automatic speech recognition (see: https://arxiv.org/abs/2307.07421). The code is read…
This is the source code of F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning
The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.
Learning differentiable temporal resolution on time-series data.
Official PyTorch implementation of SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy Minimization (INTERSPEECH 2023 Oral Presentation)
Code for ICML 2022 paper — Efficient Test-Time Model Adaptation without Forgetting
ICLR21 Tent: Fully Test-Time Adaptation by Entropy Minimization
Advancing Test-Time Adaptation in Wild Acoustic Test Settings @ EMNLP 2024
Tensorflow implementation of "Small-Footprint Keyword Spotting with Multi-Scale Temporal Convolution"(INTERSPEECH 2020)
Collection of awesome test-time (domain/batch/instance) adaptation methods
ACMMM2024: Wave-Mamba: Wavelet State Space Model for Ultra-High-Definition Low-Light Image Enhancement