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andrewng-deeplearning

微专业: 吴恩达 深度学习工程师 作业

ast

Adversarial Sparse Transformer for Time Series Forecasting

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

bilibili-plus

课程视频、PPT和源代码：侯捷C++系列；台大郭彦甫MATLAB

cvpr21_pass

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

deep-learning-with-tensorflow-book

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deeplearning.ai

Some work of Andrew Ng's course on Coursera

deeplearning.ai-notes

吴恩达《深度学习》学习笔记(xmind)、代码视频讲解

deeplearning_forecast

Application of deep learning model (Temporal Fusion Transformer) to forecast time-series data

ecg-classification

Using LSTMs to classify ECG signals in several different heart diseases. Data from the PTB diagnostic database.

ecg-segment-lstm

Data:qtdb Model： LSTM Env：python3+pytorch

f2m

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

fusingtransformermodelwithtemporalfeaturesforecgheartbeatclassification

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gp-tree

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning

informer2020

The GitHub repository for the paper "Informer" accepted by AAAI 2021.

lstm-ecg

Real Time Electrocardiogram Annotation with a Long Short Term Memory Neural Network

machine-learning-collection

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

machinelearning_ng_python

吴恩达机器学习算法Python实现，附详细的代码注释。

mesh

Mesh TensorFlow: Model Parallelism Made Easier

mit-bih_ecg_recognition

MIT-BIH ECG data recognition using 1d CNN with tensorflow2

mitab_ecg_cnn_classification

Basic Algorithm For Beginners （Python version）

multidimensional-time-series-with-transformer

transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测

nlp-interview-notes

本项目是作者们根据个人面试和经验总结出的自然语言处理(NLP)面试准备的学习笔记与资料，该资料目前包含 自然语言处理各领域的 面试题积累。

pytorch-transfomer

My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

query-selector

LONG-TERM SERIES FORECASTING WITH QUERYSELECTOR – EFFICIENT MODEL OF SPARSEATTENTION

seq2seq.pytorch

Sequence-to-Sequence learning using PyTorch

tensorflow-2.x-tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

time-series-forecasting-using-transformers