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Tools to Design or Visualize Architecture of Neural Network
Mobility Load Management in Cellular Networks
Large Language Models: In this repository Language models are introduced covering both theoretical and practical aspects.
Machine Learning notebooks for refreshing concepts.
two-step recommender system implemented using tensorflow recommender
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A list of AI/ML driven companies in Egypt
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
This repository contains all the deep learning projects done as tutorial
A resource for learning about Machine learning & Deep Learning
Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022
A curated list of awesome computer vision resources
A playbook for systematically maximizing the performance of deep learning models.
A complete computer science study plan to become a software engineer.
In this tutorial, you will perform inference across 10 well-known pre-trained object detectors and fine-tune on a custom dataset. Design and train your own object detector.
In this tutorial, you will perform inference across 10 well-known pre-trained semantic segmentors and fine-tune on a custom dataset. Design and train your own segmentor.
Learning Tensorflow Step by Step:: Concepts, Examples & Applications
text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
500 AI Machine learning Deep learning Computer vision NLP Projects with code
A collection of design patterns implemented in Java
📺 Discover the latest machine learning / AI courses on YouTube.
VIP cheatsheets for Stanford's CS 229 Machine Learning
📊 Path to a free self-taught education in Data Science!
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
Strategies for Pre-training Graph Neural Networks
💻 Learn to make machines learn so that you don't have to struggle to program them; The ultimate list