kaizhongkaizhong's repositories
Automatic-Modulation-Classification-1
Accumulated Polar Feature-based Deep Learning for Automatic Modulation Classification
geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
awesome-deep-neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
D-AMP_Toolbox
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
MIMO_OFDM-1
k-Modular Quadratic Programming Algorithm for PAPR in MIMO OFDM
evolutionary-antenna-design-in-mimo
Code for Joint Optimization of Waveform Covariance Matrix and Antenna Selection for MIMO Radar With Application to Aerial Drones
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
RadarWaveformsML
Manipulation of Radar and Communication Waveforms using new ML algorithms but not forgetting the Old Tricks
manopt
Manopt, a Matlab toolbox for optimization on manifolds
geotorch
A library for constrained optimization and manifold optimization for deep learning
SimulatedRadarWaveformGenerator
A software tool that generates simulated radar signals and creates RF datasets for developing and testing machine/deep learning detection algorithms.
SGDLibrary
MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.19
graph-based-deep-learning-literature
links to conference publications in graph-based deep learning
BeamPatternDesign
Optimal Beam Pattern Design for Hybrid Beamforming in Millimeter Wave Communications
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
202008-hybrid-rcg
An implementation of the Hybrid Riemannian conjugate gradient method
botorch
Bayesian optimization in PyTorch
pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
Ranger-Deep-Learning-Optimizer
Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
Ambiguity-function
Calculating and plotting ambiguity function of a radar-repeater network
pyroomacoustics
Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接