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Repository for the models and code used in "UE Tracking Beamforming using a MIMO Software-Defined Radio" MSc project.
Curated list of data science interview questions and answers
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
The release codes of LA-MCTS with its application to Neural Architecture Search.
Full reference of LinkedIn answers 2024 for skill assessments (aws-lambda, rest-api, javascript, react, git, html, jquery, mongodb, java, Go, python, machine-learning, power-point) linkedin excel t…
Tools to Design or Visualize Architecture of Neural Network
Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)
pytorch code of CSI-Net, including data and pre-trained models
Learn how to design, develop, deploy and iterate on production-grade ML applications.
A PyTorch implementation for ERFNet on Pascal VOC data.
A complete computer science study plan to become a software engineer.
A scalable template for PyTorch projects, with examples in Image Segmentation, Object classification, GANs and Reinforcement Learning.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
⚽📈 A curated list of awesome resources related to Soccer Analytics.
Antenna array signal processing library implemented in python
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.
A curated list of GAN & Deepfake papers and repositories.
Roadmap to becoming an Artificial Intelligence Expert in 2022
This course covers how you can use NLP to do stuff.
Getting started with soccer analytics
Research Environment to play around with Algorithms and Data (Structures)
Python code for "Probabilistic Machine learning" book by Kevin Murphy