JS2498

JS2498's Stars

• yangshun/tech-interview-handbook

  💯 Curated coding interview preparation materials for busy software engineers

  Language:TypeScript117k2.1k9614.6k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—foundation models

  Language:Python17.3k1427341.3k

• vasanthk/how-web-works

  What happens behind the scenes when we type www.google.com in a browser?

  16.1k210191.7k

• DataTalksClub/machine-learning-zoomcamp

  Learn ML engineering for free in 4 months!

  Language:Jupyter Notebook9.3k1611552.2k

• paperswithcode/releasing-research-code

  Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

  2.6k566714

• LyWangPX/Reinforcement-Learning-2nd-Edition-by-Sutton-Exercise-Solutions

  Solutions of Reinforcement Learning, An Introduction

  Language:Jupyter Notebook2k3585461

• ken0225/RIS-Codes-Collection

  RIS-Codes-Collection: A Complete Collection contains the Codes for RIS(IRS) Researches.

  1k3516225

• jmtomczak/intro_dgm

  "Deep Generative Modeling": Introductory Examples

  Language:Jupyter Notebook1k276171

• aimacode/aima-pseudocode

  Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

  8636337419

• int8/monte-carlo-tree-search

  Monte carlo tree search in python

  Language:Python566107169

• MethkupalliVasanth/Books

  511110317

• KalmanNet/KalmanNet_TSP

  code for KalmanNet

  Language:Python27094273

• pemami4911/POMDPy

  POMDPs in Python.

  Language:Python242101262

• h2r/pomdp-py

  A framework to build and solve POMDP problems. Documentation: https://h2r.github.io/pomdp-py/

  Language:Python210114049

• aibooks/aibooks.github.io

  AI Books

  19916389

• antonismand/Personalized-News-Recommendation

  Multi Armed Bandits implementation using the Yahoo! Front Page Today Module User Click Log Dataset

  Language:Jupyter Notebook932024

• catkira/py3gpp

  A Python package for 5G-NR simulations

  Language:Python9391716

• lpkg/WMMSE-deep-unfolding

  Language:Jupyter Notebook734034

• hqyyqh888/DeepUnfolding_WMMSE

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

  Language:Python622214

• vkumar-ucd/SCABeamformingIRS

  Simulation code for "A Novel SCA-Based Method for Beamforming Optimization in IRS/RIS-Assisted MU-MISO Downlink," by V. Kumar, R. Zhang, M. D. Renzo and L. -N. Tran, IEEE Wireless Communications Letters, doi: 10.1109/LWC.2022.3224316.

  Language:Python43104

• hqyyqh888/DDQN_BeamSelection

  Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays

  Language:Python401015

• Aithu-Snehith/End-to-End-Learning-of-Communications-Systems-Without-a-Channel-Model

  Implementation of research paper: End-to-End Learning of Communications Systems Without a Channel Model

  Language:Jupyter Notebook362119

• songjiechong/DPC-DUN

  Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing (IEEE TIP 2023)

  Language:Python31103

• dmaniloff/libpomdp

  libpomdp is a set of POMDP approximation algorithms implemented in Java and Matlab

  Language:MATLAB297612

• ITU-AI-ML-in-5G-Challenge/DeepSense6G_TII

  The repository contains code, report and presentation for the solution of Team TII for ITU AI/ML in 5G Grand Challenge 2022: ML5G-PS-011: Multi Modal Beam Prediction: Towards Generalization

  Language:Python23146

• malayandi/Tiger-Problem-POMDP

  Implementation of POMDP algorithms on the tiger example, as described in Littman, Cassandra and Kaelbling (1994).

  Language:Python17332

• mhahsler/pomdp

  R package for Partially Observable Markov Decision Processes

  Language:R165135

• rmoehn/piglet_pbvi

  Implementation of point-based value iteration (for POMDPs)

  Language:Python12103

• usnistgov/ML5G-PS-005

  Digital-twin-enabled 6G: Depth Map Estimation in mmWave systems

  Language:Jupyter Notebook12616

• Milind-Blaze/EE6143_2020

  EE6143: Advanced Topics in Communications. This repository contains the code written and presentations created to implement/simulate the 5G NR standards and better understand them.

  Language:MATLAB7201