chester-w-xie

PlotNeuralNet

Latex code for making neural networks diagrams

AIM-Fewshot-Continual

ast

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

Auto-PyTorch

Automatic architecture search and hyperparameter optimization for PyTorch

AutoSpeech

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

continual_learning_papers

Relevant papers in Continual Learning

CrossViT

Official implementation of CrossViT. https://arxiv.org/abs/2103.14899

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

DynAE

FairDARTS

Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search

few-shot-NAS

Focal-Transformer

Official code for "Focal Self-attention for Local-Global Interactions in Vision Transformers"

fsd50k-pytorch

Unofficial implementation of FSD50k baselines for Sound Event Recognition

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

Image-Classification-using-CNN-with-Multi-Input-using-MATLAB

This demo shows how to implement convolutional neural network (CNN) for image classification with multi-input.

loss-landscape

Code for visualizing the loss landscape of neural nets

Machine-Learning-Collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

mobile-vision

Mobile vision models and code

MTLNAS

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

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.

nonparaSeq2seqVC_code

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

once-for-all

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

OWOD

(CVPR 2021 Oral) Open World Object Detection

PCL

PyTorch code for "Prototypical Contrastive Learning of Unsupervised Representations"

PyTorch-Deformable-Convolution-v2

Don't feel pain to use Deformable Convolution

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

unnas

Code for "Are labels necessary for neural architecture search"

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

ZenNAS