mdhabibi's Stars
matterport/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
DataTalksClub/data-engineering-zoomcamp
Free Data Engineering course!
shap/shap
A game theoretic approach to explain the output of any machine learning model.
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
DataTalksClub/mlops-zoomcamp
Free MLOps course from DataTalks.Club
mrdbourke/pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
simonw/datasette
An open source multi-tool for exploring and publishing data
afshinea/stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
mrdbourke/tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
alexlenail/NN-SVG
Publication-ready NN-architecture schematics.
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
facebookresearch/encodec
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
jakevdp/sklearn_tutorial
Materials for my scikit-learn tutorial
ahmedfgad/Mask-RCNN-TF2
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow 2.0
mikexcohen/DeepUnderstandingOfDeepLearning
Python code accompanying the course "A deep understanding of deep learning (with Python intro)"
analysiscenter/pydens
PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks
jacobtomlinson/gpu-python-tutorial
GPU Development in Python 101 tutorial
quercushernandez/ThermodynamicsGNN
Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).
openPMD/openPMD-standard
:notebook: Open Standard for Particle-Mesh Data
KTH-FlowAI/Physics-informed-neural-networks-for-solving-Reynolds-averaged-Navier-Stokes-equations
vlvovch/PHYS6350-ComputationalPhysics
Lecture notes and code for the course PHYS6350 Computational Physics at the University of Houston
conorosully/SHAP-tutorial
SHAP with Python
machinecurve/extra_keras_datasets
📃🎉 Additional datasets for tensorflow.keras
a-data-odyssey/XAI-tutorial
A course on explainable AI with Python
developershutt/Autoencoders
aid4nscud/PINNResearch
Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations
EhsanGharibNezhad/TelescopeML
Deep Convolutional Neural Networks and Machine Learning Models for Analyzing Stellar and Exoplanetary Telescope Spectra
bustardchad/ML_Turb
PyTorch CNNs and U-nets trained on astrophysical turbulence simulations
mdhabibi/Automated-Cell-Semantic-Segmentation-with-UNet
A machine learning solution for automating nucleus detection in biomedical images, leveraging the U-Net architecture to accelerate medical research and disease treatment discovery.
mdhabibi/Capstone-Project-IBM
A data-driven project to predict the success of Falcon 9 rocket landings, crucial for cost analysis and competitive strategy in the space industry. Involves data manipulation in Pandas, JSON data processing, and insightful analysis using Python.