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corr_prediction_arima_lstm_hybrid

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

cossl

Official PyTorch Implementation of "CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning" (CVPR 2022)

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

covid_edgecomputing

crvflen

Visual Tracking with Convolutional Random Vector Functional Link Network

cueobserve

Timeseries Anomaly detection and Root Cause Analysis on data in SQL data warehouses and databases

cvpr_with_code

Rank the papers accepted to CVPR 2019 by the number of stars in their github repository

da-hoc-semi-supervised-domain-adaptation-prediction

DA-HOC: Semi-supervised Domain Adaptation for Room Occupancy Prediction using CO2 Sensor Data

da-rnn

Dual-Stage Attention-Based Recurrent Neural Net for Time Series Prediction

da-rnn-1

📃 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch Implementation of DA-RNN (arXiv:1704.02971)

darknet

YOLOv4 - Neural Networks for Object Detection (Windows and Linux version of Darknet )

darts

A python library for easy manipulation and forecasting of time series.

data-driven-prediction-of-battery-cycle-life-before-capacity-degradation

Code for Nature energy manuscript

data-science-competitions

Goal of this repo is to provide the solutions of all Data Science Competitions(Kaggle, Data Hack, Machine Hack, Driven Data etc...).

decomposedtransad

Official code for "Decomposed Transformer with Frequency Attention for Multivariate Time Series Anomaly Detection".

deep-forecast-pytorch

Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)

deep-learning-from-scratch

《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》

deep-learning-in-phm

Deep learning in PHM，Deep learning in fault diagnosis，Deep learning in remaining useful life prediction

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

deep-learning-with-tensorflow-book

深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

deep-residual-networks

Deep Residual Learning for Image Recognition

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deep-time-series-prediction

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

deepadots

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deeplearn_hsi

Source code for ``Deep Learning-Based Classification of Hyperspectral Data'' published at JSTAR

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

delay_embedding

Delay embedding for time series modeling and classification

demand_forecast

denmo

this is a demo