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a-pytorch-tutorial-to-class-incremental-learning

a PyTorch Tutorial to Class-Incremental Learning | a Distributed Training Template of CIL with core code less than 100 lines.

aim-fewshot-continual

alcs

alive-progress

A new kind of Progress Bar, with real time throughput, eta and very cool animations!

article_fft_wavelet_ecg

article feature extraction time series

ast

Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

attention-based_atrous_cnn

Pytorch code for the paper 'Attention-based Atrous Convolutional Neural Networks: Visualisation and Understanding Perspectives of Acoustic Scenes', by Zhao Ren, Qiuqiang Kong, Jing Han, Mark Plumbley, Björn Schuller.

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

audio-classification-using-deep-learning

Personal Project to classify different audio files using multi layer perceptrons.

audio-dataset

Audio Dataset for training CLAP and other models

audioset-for-meta-learning

A convenient set of tools for downloading a quality controlled version of AudioSet in Python, with additional considerations for Meta-Learning based on current research

audioset-processing

Toolkit for downloading and processing Google's AudioSet dataset.

auditory-slow-fast

Implementation of "Slow-Fast Auditory Streams for Audio Recognition, ICASSP, 2021" in PyTorch

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

autodl-projects

Automated deep learning algorithms implemented in PyTorch.

autospeech

[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang

avalanche

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-few-shot-meta-learning

awesome few shot / meta learning papers

awesome-incremental-learning

Awesome Incremental Learning

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

ax

Adaptive Experimentation Platform

baseline-matlab-dcase

This repo contains an unofficial MATLAB implementation of DCASE2021 Task 1A baseline code, which is part of the DCASE challenge.

bayesianoptimization

A Python implementation of global optimization with gaussian processes.

bclef2022

bertviz

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

beta-darts

official implementation of β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search (CVPR22 oral).

bm-nas

BM-NAS: Bilevel Multimodal Neural Architecture Search (AAAI 2022 Oral)

boilerplate

Odds and Ends and Things I've implemented.