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metaaudio-a-few-shot-audio-classification-benchmark

A new comprehensive and diverse few-shot acoustic classification benchmark.

metanas

Meta-Learning of Neural Architectures for Few-Shot Learning

metantk-nas

mfas

Implementation of CVPR 2019 paper "Mfas: Multimodal fusion architecture search"

mfcvae

🏁 Multi-Facet Clustering Variatonal Autoencoders (MFCVAE) [NeurIPS 2021] 🏁 A class of variational autoencoders to find multiple disentangled clusterings of data. Official PyTorch implementation.

mini-imagenet-tools

Tools for generating mini-ImageNet dataset and processing batches

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mobile-vision

Mobile vision models and code

model_search

models

Models and examples built with TensorFlow

msg-stylegan-tf

MSG StyleGAN in tensorflow

mtlnas

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

mudeep_v2

Leader-based Multi-Scale Attention Deep Architecture for Person Re-identification

multi-obj-baselines

multisensory

Code for the paper: Audio-Visual Scene Analysis with Self-Supervised Multisensory Features

nas-for-kws

nas-without-training

Code for Neural Architecture Search without Training (ICML 2021)

naslib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

nasp-codes

naspapers

Paper lists of neural architecture search (NAS)

nb-asr

neural-architecture-transfer

Neural Architecture Transfer (Arxiv'20), PyTorch Implementation

njucs-course-material

南京大学计算机系 课程资料 作业 代码 实验报告 NJU-CS 课程分享计划 :rice:​

nnm

The PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.

nonparaseq2seqvc_code

Implementation code of non-parallel sequence-to-sequence VC

nsas_for_cvpr

NSAS code for CVPR review

ocsc

Code for 'Online convolutional sparse coding'.

once-for-all

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

online-continual-learning

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and an online continual learning survey (Neurocomputing).