PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Vector Quantization, in Pytorch

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

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…

The implement of the paper 'Time-domain Speech Enhancement with GenerativeAdversarial Learning'

A curated list of papers & resources linked to open set recognition, out-of-distribution, open set domain adaptation and open world recognition

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, arXiv:2104.09159, 2021.

Deep learning signal classification using rtl-sdr dongle

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

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

Final Project for AI Wireless

GNU Radio – the Free and Open Software Radio Ecosystem

Implementation of the convolutional module from the Conformer paper, for use in Transformers

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

Official implementation of ICLR 2020 paper Unsupervised Clustering using Pseudo-semi-supervised Learning

Speech Emotion Classification with novel Parallel CNN-Transformer model built with PyTorch, plus thorough explanations of CNNs, Transformers, and everything in between

Unofficial Pytorch code for "FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence" in NeurIPS'20. This repo contains reproduced checkpoints.

PyCharm 中文指南：安装 | 破解 | 效率 | 技巧

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

An intuitive library to extract features from time series

Prunning Deep-ResNet

Python 黑魔法手册

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

Code for Paper ''Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning'' (ICCV 2019)

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