Ibrahim's Projects
We will go hands-on with an image classification demo using transfer learning, while leveraging MLflow to track our model experiments on Databricks
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Data Challenge on Autism Spectrum Disorder detection
[UNMAINTAINED] Automated machine learning for analytics & production
A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
Curating a list of AutoML-related research, tools, projects and other resources
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Code repository for Building Machine Learning Systems with Python Third Edition, by Packt
The fast.ai course notebooks
Free Data Engineering course!
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
DeepLearning.AI Short Courses Repository: A centralized hub for all materials, assignments, and resources from the popular short courses offered by DeepLearning.AI
The fastai book, published as Jupyter Notebooks
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Notebooks and code for the book "Introduction to Machine Learning with Python"
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
My work folder for the MLOps course from DataTalks.Club
A repository of my LeetCode code challenge attempts