NitishaS-812k's Stars
microsoft/IoT-For-Beginners
12 Weeks, 24 Lessons, IoT for All!
microsoft/Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
matplotlib/cheatsheets
Official Matplotlib cheat sheets
yandexdataschool/Practical_RL
A course in reinforcement learning in the wild
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
AllenDowney/ThinkDSP
Think DSP: Digital Signal Processing in Python, by Allen B. Downey.
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
pythonlessons/TensorFlow-2.x-YOLOv3
YOLOv3 implementation in TensorFlow 2.3.1
peijin94/matlabPlotCheatsheet
A cheatsheet for those who plot with MATLAB
gwisk/gradguide
A guide on STEM PhD admissions
frankkramer-lab/MIScnn
A framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning
zdhNarsil/Awesome-GFlowNets
A curated list of resources about generative flow networks (GFlowNets).
xiaochus/MobileNetV3
A Keras implementation of MobileNetV3.
radioML/examples
Useful RadioML Examples
jeanqasaur/academic-application-materials
emilbjornson/cell-free-book
Book PDF and simulation code for the monograph "Foundations of User-Centric Cell-Free Massive MIMO" by Özlem Tugfe Demir, Emil Björnson and Luca Sanguinetti, published in Foundations and Trends in Signal Processing, 2021.
mr7495/COVID-CTset
Large Covid-19 CT scans dataset from the paper: https://doi.org/10.1016/j.bspc.2021.102588
edufonseca/FSD50K_baseline
Baseline systems for the FSD50K dataset
emilbjornson/power-allocation-cell-free
Simulation code for “Learning-Based Downlink Power Allocation in Cell-Free Massive MIMO Systems,” by Mahmoud Zaher, Özlem Tuğfe Demir, Emil Björnson, Marina Petrova, IEEE Transactions on Wireless Communications, vol. 22, no. 1, pp. 174-188, Jan. 2023
mr7495/COVID-CT-Code
Fully automated code for Covid-19 detection from CT scans from paper: https://doi.org/10.1016/j.bspc.2021.102588
renew-wireless/RENEWLab
Harshs27/neural-graphical-models
Neural Graphical models are neural network based graphical models that offer richer representation, faster inference & sampling
lucidrains/ESBN-pytorch
Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
coconutzs/UAV_RL
SleyAI/Biomedical-Segmentation-with-PyTorch
Biomedical Segmentation with PyTorch and different Convolutional Neural Network Architectures.
networkedsystemsIITB/libVNF
Library to build Virtual Network Functions
Akomand/SCM-VAE
Code Repository of the paper "SCM-VAE: Learning Identifiable Causal Representations via Structural Knowledge"
huajay1/LSTM-based-A2C
ljtheminister/Opt1
IEOR 6613 Optimization 1 HW
Lexie88rus/cassava_diseases
Notebooks for Kaggle Cassava Diseases Classification Competition