yulab-nju

yulab-nju's Stars

• benedekrozemberczki/pytorch_geometric_temporal

  PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

  Language:Python2.7k39191378

• facebookresearch/TimeSformer

  The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

  Language:Python1.6k30129217

• SimonBlanke/Gradient-Free-Optimizers

  Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.

  Language:Python1.2k225185

• kthohr/optim

  OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

  Language:C++8293959136

• LiuChuang0059/Complex-Network

  复杂网络研究资源整理和基础知识学习

  Language:Jupyter Notebook660111193

• nju-lug/NJUThesis

  南京大学学位论文模板

  Language:TeX484811167

• sydney222/Python_CsiNet

  Python code for "Deep Learning for Massive MIMO CSI Feedback"

  Language:PureBasic253145108

• aptx1231/Traffic-Prediction-Open-Code-Summary

  Summary of open source code for deep learning models in the field of traffic prediction

  2512158

• zhuwenxing/daily_arxiv

  Using GitHub Action to collect paper list with publicly available source code in the daily arxiv

  Language:Python21816149

• keurfonluu/stochopy

  Python library for stochastic numerical optimization

  Language:Python937416

• cost2100/cost2100

  This is the COST2100 channel model, a MATLAB implementation of a spatially consistent radio channel model for MIMO and Massive MIMO communication. Originally developed within COST 2100 (http://www.cost2100.org/) and then further extended in COST IC 1004 (http://www.ic1004.org/) and COST CA15104 IRACON (http://www.iracon.org/)

  Language:HTML824636

• lpkg/WMMSE-deep-unfolding

  Language:Jupyter Notebook784036

• Kylin9511/CRNet

  Channel Reconstruction Network implemented in PyTorch

  Language:Python746827

• HamedHojatian/HBF-Net

  Simulation code for "Unsupervised Deep Learning for Massive MIMO Hybrid Beamforming" by Hamed Hojatian, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau, 2020.

  Language:Python714215

• hqyyqh888/DeepUnfolding_WMMSE

  Iterative Algorithm Induced Deep-Unfolding Neural Networks: Precoding Design for Multiuser MIMO Systems

  Language:Python632215

• chenwydj/learning-to-learn-by-gradient-descent-by-gradient-descent

  Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"

  Language:Jupyter Notebook624115

• lucaslingle/pytorch_rl2

  Implementation of 'RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning'

  Language:Python573010

• SIJIEJI/CLNet

  Code of the paper, CLNet: Complex Input Lightweight Neural Network designed for Massive MIMO CSI Feedback

  Language:Python461518

• VITA-Group/L2O-Training-Techniques

  [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu Chang, Sijia Liu, Lisa Amini, Zhangyang Wang

  Language:Python26317

• Kylin9511/ACRNet

  This is an implementation of ACRNet for results reproduction on COST2100

  Language:Python20238

• IandRover/meta_gradient_RL

  Implementation of NeurIPS 2018 paper "Meta-Gradient Reinforcement Learning"

  Language:Jupyter Notebook18202

• farismismar/Bandswitch-DeepMIMO

  Code for my publication: Deep Learning Predictive Band Switching in Wireless Networks. Paper accepted for publication to IEEE Transactions in Wireless Communications.

  Language:Python142012

• chiamp/fast-reinforcement-learning

  Implementing DeepMind's Fast Reinforcement Learning paper, and adding additional features to generalize the algorithms

  Language:Python10200

• ortalagiv/Learn-to-Rapidly-Optimize-Hybrid-Precoding

  Language:Python6113

• CherryPieSexy/fast_reinforcement_learning

  Fast version of RL & IL library, work in progress.

  Language:Python3100

• shaoyangwangchn/TWC-data-code

  Language:Python3