ibrahimzamit Goto Github PK

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

autism

Data Challenge on Autism Spectrum Disorder detection

auto_ml

[UNMAINTAINED] Automated machine learning for analytics & production

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-automl

Curating a list of AutoML-related research, tools, projects and other resources

awesome-automl-and-lightweight-models

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.

awesome-automl-papers

A curated list of automated machine learning papers, articles, tutorials, slides and projects

building-machine-learning-systems-with-python-third-edition

Code repository for Building Machine Learning Systems with Python Third Edition, by Packt

course22

The fast.ai course notebooks

data-engineering-zoomcamp

Free Data Engineering course!

data-science-ipython-notebooks

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.

de-zoomcamp

deeplearning.ai_short_courses

DeepLearning.AI Short Courses Repository: A centralized hub for all materials, assignments, and resources from the popular short courses offered by DeepLearning.AI

fastbook

The fastai book, published as Jupyter Notebooks

gnn-project

guide_quickbadges

hyperband

Tuning hyperparams fast with Hyperband

hyperparameter_hunter

Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries

ibrahimzamit

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

learning-data-science

machine-learning-with-graphs-cs224w-stanford-fall-2021

ml-from-scratch

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.

mlops_zoomcamp_2024

My work folder for the MLOps course from DataTalks.Club

molecular-data-set-compilation

my_leetcode

A repository of my LeetCode code challenge attempts

openml-automl-course

playing_around

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource

t81-558_app_deep_learning2023

T81-558: PyTorch - Applications of Deep Neural Networks @Washington University in St. Louis