alandene Goto Github PK

network-slimming-using-keras

Prunning Deep-ResNet

nlpaug

Data augmentation for NLP

openlongtailrecognition-oltr

Pytorch implementation for "Large-Scale Long-Tailed Recognition in an Open World" (CVPR 2019 ORAL)

panet

Code for our ICCV 2019 paper PANet: Few-Shot Image Semantic Segmentation with Prototype Alignment

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

proda

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)

pycharm-guide

PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

python-nat-hole-punching

UDP and TCP NAT hole punching examples in python

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

pytorch_image_classification

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

pytorch_resnet_cifar10

Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.

radio-modulation-recognition-networks

Radio modulation recognition with CNN, CLDNN, CGDNN and MCTransformer architectures. Best results were achieved with the CGDNN architecture, which has roughly 50,000 parameters, and the final model has a memory footprint of 636kB. More details can be found in my bachelor thesis linked in the readme file.

radioml

深度学习在软件无线电领域的应用

rdl-se

Deep Residual-Dense Lattice Network for Speech Enhancement

remixmatch-pytorch

resnet-for-radio-recognition

Implementation and improvement of "Over the Air Deep Learning Based Radio Signal Classification"

robust-classification-with-convolutional-prototype-learning-pytorch

PyTorch Implementation of Robust Classification with Convolutional Prototype Learning

s4l

Tensorflow implementation of S4L: Self-Supervised Semi-Supervised Learning

sdec-keras

Implementation of Semi-supervised Deep Embedded Clustering (SDEC) in Keras

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

semisupervised-clustering

PyTorch semi-supervised clustering with Convolutional Autoencoders

semisupervised_vae

Replication of Semi-Supervised Learning with Deep Generative Models

set_functions_for_time_series

Repository of the ICML 2020 paper "Set Functions for Time Series"

siamesenetwork-tensorflow

Using siamese network to do dimensionality reduction and similar image retrieval

socket_video

基于TCP的socket网络传输视频（C++, python）

soundstream

This repository is an implementation of this article: https://arxiv.org/pdf/2107.03312.pdf

tcn

Sequence modeling benchmarks and temporal convolutional networks

text_classification

使用rnn,lstm,gru,fasttext,textcnn,dpcnn,rnn-att,lstm-att,兼容huggleface/transformers，以及以transforemrs作为词嵌入模型，后面接入cnn、rnn、attention等等做文本分类。以及各个模型的对比

tf-ssl

Virtual Adversarial Ladder Networks for Semi-Supervised Learning

time_series_augmentation

An example of time series augmentation methods with Keras