Mohamed Ali's repositories
Beijing-air-quality-prediction-internship
This project has applied Machine Learning and Deep Learning techniques to analyse and predict the Air Quality in Beijing.
3d-bat
3D Bounding Box Annotation Tool (3D-BAT) Point cloud and Image Labeling
AnatomyOfMatplotlib
Anatomy of Matplotlib -- tutorial developed for the SciPy conference
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
cd4ml-workshop
Repository with sample code and instructions for "Continuous Intelligence" and "Continuous Delivery for Machine Learning: CD4ML" workshops
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
KafkaMongo-HeartDiseaseProject
Creation of a message Gateaway with Kafka for an hospital
lectures-labs
Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay
Leetcode
🎓Leetcode solutions in Python 📚
lessons
📚 Learn ML with clean code, simplified math and illustrative visuals. As you learn, work on interesting projects and share them on https://madewithml.com for the community to discover and learn from!
nlp-recipes
Natural Language Processing Best Practices & Examples
Pandas-Data-Science-Tasks
Set of real world data science tasks completed using the Python Pandas library
Reinforcement_Learning_for_Stock_Prediction
This is the code for "Reinforcement Learning for Stock Prediction" By Siraj Raval on Youtube
siamese_net
Signature verification system using Siamese networks
sign-verification-siamese-net-pytorch
SigNet Paper python implementation for check for forged Signatures. Siamese N. Net architecture has two or more identical subnetworks to find difference or similarity.
sigver
Signature verification package, for learning representations from signature data, training user-dependent classifiers.
SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
student-app-management
Student management app
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
xam
:dart: Personal data science and machine learning toolbox