Pinned Repositories
BF-design-with-DL
Beamforming design with deep learning.
Communication_eBooks
上传一些关于通信的好书，以便不时之需。
cvzone
This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.
Data-Driven-Reachability-Analysis
Data Driven Reachability Analysis from Noisy Data
deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
DeepLearning-CoordinatedBeamforming
Simulation code for "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" by Ahmed Alkhateeb, Sam Alex, Paul Varkey, Ying Li, Qi Qu, and Djordje Tujkovic, in IEEE Access, vol. 6, pp. 37328-37348, 2018.
DL-ActiveLearning-BeamAlignment
github-slideshow
A robot powered training repository :robot:
hello-world
lidar_beam_tracking
Najiull's Repositories
Najiull/cvzone
This is a Computer vision package that makes its easy to run Image processing and AI functions. At the core it uses OpenCV and Mediapipe libraries.
Najiull/deep_sort
Simple Online Realtime Tracking with a Deep Association Metric
Najiull/Data-Driven-Reachability-Analysis
Data Driven Reachability Analysis from Noisy Data
Najiull/nn-from-scratch
Implementing a Neural Network from Scratch
Najiull/lit
Literature for the self-taught AI practitioner! 📚
Najiull/lidar_beam_tracking
Najiull/ODE-LSTM-for-beam-tracking
Here are the source codes of continous-time beam tracking based on neural ordinary differential equation (ODE).
Najiull/BF-design-with-DL
Beamforming design with deep learning.
Najiull/Communication_eBooks
上传一些关于通信的好书，以便不时之需。
Najiull/DeepLearning-CoordinatedBeamforming
Simulation code for "Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems" by Ahmed Alkhateeb, Sam Alex, Paul Varkey, Ying Li, Qi Qu, and Djordje Tujkovic, in IEEE Access, vol. 6, pp. 37328-37348, 2018.
Najiull/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
Najiull/Sub6-Preds-mmWave
Using sub-6 GHz channels to predict mmWave beams and link blockage.
Najiull/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
Najiull/ML-mmWave-Beam-Alignment
Najiull/DL-ActiveLearning-BeamAlignment
Najiull/hello-world
Najiull/github-slideshow
A robot powered training repository :robot:
Najiull/Vehicle-Detection-and-Tracking
Udacity Self-Driving Car Engineer Nanodegree. Project: Vehicle Detection and Tracking