zebraqq's Stars
caglar/noisy_units
Codes for the "Noisy Activation Functions" paper.
haozheng61/DPM-for-AMC-based-on-CNN
WinLabYunnanUniversity/CBAMLSTM-and-CBAMTCN
ytin16/awesome-machine-learning-1
Learning Resources And Links Of Machine Learning(updating)
xuguangning1218/Typhoon_Path
Official source code for paper 《AM-ConvGRU: A Spatio-Temporal Model for Typhoon Path Prediction》
ndrplz/ConvLSTM_pytorch
Implementation of Convolutional LSTM in PyTorch.
happyjin/ConvGRU-pytorch
Convolutional GRU
PatientEz/CNN-BiLSTM-Attention-Time-Series-Prediction_Keras
CNN+BiLSTM+Attention Multivariate Time Series Prediction implemented by Keras
shivram1987/ActivationFunctions
hfawaz/dl-4-tsc
Deep Learning for Time Series Classification
hfawaz/InceptionTime
InceptionTime: Finding AlexNet for Time Series Classification
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
MenghaoGuo/Awesome-Vision-Attentions
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
kobiso/CBAM-tensorflow
CBAM implementation on TensowFlow
fchollet/deep-learning-models
Keras code and weights files for popular deep learning models.
miraclewkf/ResNeXt-PyTorch
PanJinquan/tensorflow_models_learning
tensorflow GoogleNet inception V1 V2 V3 V4
zotero-chinese/styles
中文 CSL 样式
SadiMohammad/noisyrelu-python
NoisyReLU Activation Function Code in Python
qian-liu/iconip2016
noisy softplus
Darth-Kronos/Spectrum-Sensing
Using signal processing based features to train and validate machine-learning algorithms to improve spectrum sensing and related problems in cognitive radios.
wineslab/deepsense-spectrum-sensing-datasets
Dataset for the paper D. Uvaydov, S. D’Oro, F. Restuccia and T. Melodia, "DeepSense: Fast Wideband Spectrum Sensing Through Real-Time In-the-Loop Deep Learning," IEEE INFOCOM 2021 - IEEE Conference on Computer Communications, 2021, pp. 1-10, doi: 10.1109/INFOCOM42981.2021.9488764.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
subeeshvasu/Awesome-Learning-with-Label-Noise
A curated list of resources for Learning with Noisy Labels
osh/gr-mediatools
ffmpeg / gnu radio integration
gr-vt/gr-mapper
Symbol to Bit Mapping and Demapping Blocks for GNU Radio
sty945/bank_interview
:bank: 银行笔试面试经验分享及资料分享(help you pass the bank interview, and get a amazing bank offer!)
aleju/papers
Summaries of machine learning papers
nickchen121/Pre-training-language-model
博客配套视频链接: https://space.bilibili.com/383551518?spm_id_from=333.1007.0.0 b 站直接看 配套 github 链接:https://github.com/nickchen121/Pre-training-language-model 配套博客链接:https://www.cnblogs.com/nickchen121/p/15105048.html
SuperBruceJia/EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.