annapurna-pradhan Goto Github PK

2022_microsoft_ionq_challenge

MIT iQuHACK 2022 x Microsoft x IonQ Challenge

annapurna-pradhan

Config files for my GitHub profile.

atford

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-federated-learning

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

iquhackproject-01

joint-embb-urllc

lambeq

A high-level Python library for Quantum Natural Language Processing

ldpc-3gpp-matlab

Matlab simulations of the encoder and decoder for the New Radio LDPC code from 3GPP Release 15

machine-learning-with-python

Python code for common Machine Learning Algorithms

massivemimobook

Book PDF and simulation code for the monograph "Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency" by Emil Björnson, Jakob Hoydis and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2017.

optimal-beamforming

Simulation code for “Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure” by Emil Björnson, Mats Bengtsson, and Björn Ottersten, IEEE Signal Processing Magazine, vol. 31, no. 4, pp. 142-148, July 2014.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qtransformer

Quantum-enhanced transformer neural network

resource-allocation-using-deeprl

Deep Reinforcement Learning Based Dynamic Resource Allocation in 5G Ultra-Dense Networks

security-and-robustness-of-deep-learning-in-wireless-communication-systems

A research oriented repository on the Security and Robustness of Deep Learning for Wireless Communication Systems

sionna

Sionna: An Open-Source Library for Next-Generation Physical Layer Research

sp_cup_2021

This repository contains the description of the IEEE Signal Processing Cup 2021. Everyone is welcome to join this cup!

tensorflow

The set of programs would be able to detect a pet through the use of a suitable pre-trained dataset

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.