Muhanned's repositories
drawio-desktop
Official electron build of diagrams.net
Learn-TensorFlow
Learning Tensorflow Step by Step:: Credit: Tensorflow Specialization
albumentations
Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
argos
Argos: a data viewer that can read HDF5, NetCDF4, and other file formats.
autokeras
AutoML library for deep learning
awesome-transfer-learning
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Brain-Tumor-Classification-with-Efficient-Net-and-Grad-CAM-Visualization
Brain Tumor Classification with Efficient Net Convolutional Neural Network (CNNs)
computervision-recipes
Best Practices, code samples, and documentation for Computer Vision.
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Ensemble-Pneumonia-Detection
Based on our paper "Pneumonia Detection from Chest X-ray Images using a Novel Weighted Average Ensemble Model" under review in Nature- PlosOne
fastai
The fastai deep learning library
fastbook
The fastai book, published as Jupyter Notebooks
GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
google-images-download
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
hub
A library for transfer learning by reusing parts of TensorFlow models.
hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
imgaug
Image augmentation for machine learning experiments.
keras-retinanet
Keras implementation of RetinaNet object detection.
keras-tuner
Hyperparameter tuning for humans
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
machine-learning
Practical Full-Stack Machine Learning
Machine-Learning-Collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
make-sense
Free to use online tool for labelling photos. https://makesense.ai
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
pythoncode-tutorials
The Python Code Tutorials
scikit-learn-tips
:robot::zap: 50 scikit-learn tips
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.