how-about Goto Github PK
Type: User
Type: User
100 Days of ML Coding
The PyTorch implementation of ICLR2020 submission: Why ADAM Beats SGD for Attention Models (https://openreview.net/pdf?id=SJx37TEtDH)
Adan: Adaptive Nesterov Momentum Algorithm for Faster Optimizing Deep Models
adaptive/attention deep joint source channel coding
AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
基于Keras的LSTM多变量时间序列预测
Simple python example on how to use ARIMA models to analyze and predict time series.
Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets
Adversarial Sparse Transformer for Time Series Forecasting
Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version
Automatic architecture search and hyperparameter optimization for PyTorch
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning
Useful resources for traffic prediction, including popular papers, datasets, tutorials, toolkits, and other helpful repositories.
A Python implementation of global optimization with gaussian processes.
Cache replacement Algorithm by Actor-Critic based RL
Python-caching policies
Machine-Learning based Energy-Efficient Content Caching in IoT
The simulation of paper: Joint Cooperation Clustering and Content Caching in Cell-Free Massive MIMO Networks
This code is for the paper Z. Wang, L. Liu, and S. Cui, "Channel estimation for intelligent reflecting surface assisted multiuser communications: framework, algorithms, and analysis," IEEE Trans. Wireless Commun., vol. 19, no. 10, pp. 6607-6620, Oct. 2020.
This project includes the source coding and channe coding
上传一些关于通信的好书,以便不时之需。
🌎 REDAXO Community World Map
Convolutional Transformer for time series
Differentiable convex optimization layers
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction
Implementation of Diffusion Convolutional Recurrent Neural Network in Tensorflow
Distributed Deep Learning-based Offloading for Mobile Edge Computing Networks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.