dilshad-geol
Data Scientist | Geologist | Python Developer | Machine Learning Engineer| Speaker | Freelancer |
University of the Punjab, Lahore.Pakistan
dilshad-geol's Stars
Amanbhandula/Prediction-of-reservoir-properties-using-Neural-Network
With available well logging data, prediction of porosity, water saturation using Deep Learning techniques.
dapson2real/Well_log_Prediction
Prediction of Equinor Volve well logs Data
Philliec459/Altair-Used-to-Evaluate-Core-Data-Showing-Thin-Section-Photomicrographs-for-Selected-Samples
We are using python Altair to evaluate Core Data showing Thin Section photomicrographs for select samples
Philliec459/NEW-Carbonate-Characterization-Workflow-Jupiter-Notebook-Modules-with-Clerke-Arab-D-Calibration-Data
Carbonate Reservoir Characterization workflow using Clerke’s carbonate Arab D Rosetta Stone calibration data to provide for a full pore system characterization with modeled saturations using Thomeer Capillary Pressure parameters for an Arab D complex carbonate reservoir
Rspawar/Scholarly-Network-Analysis
Topic Modeling and Visualization Framework
chawlasahaj/qualitative-topic-modelling
Using NLP, sentiment analysis, neural networks and topic modelling to visualise large amounts of qualitative data.
jakevdp/PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
maclavijo/MLZoomcamp
mhipona/cmsc320-mhipona
cmsc320 Projects
mhipona/test
jupyter-naas/awesome-notebooks
Data & AI Notebook templates catalog organized by tools, following the IMO (input, model, output) framework for easy usage and discovery..
joe-c-29b/MachineLearning
pacifinapacific/awesome_sportanalysis_paper
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ahkarami/Deep-Learning-in-Production
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
VivianKingasia/Employee-Turnover-Project
TencentARC/GFPGAN
GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.
philipperemy/Visual-Ballistic-Roulette-Vision
Ball and wheel zero tracking.
SelfExplainML/PiML-Toolbox
PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics
ElettraSciComp/Pore3D
Giorgoszg/Custom-Object-Detection-Model
Machine Learning and Content Analytics , MSc Business Analytics , Department of Management Science and Technology Athens University of Economics and Business
Mandal-21/essay-auto-grading
nlp-with-transformers/notebooks
Jupyter notebooks for the Natural Language Processing with Transformers book
dair-ai/ML-Course-Notes
🎓 Sharing machine learning course / lecture notes.
joanbn/NYCTaxi
New York City Taxi project analyses trips from yellow taxi
sdaulton/TaxiPrediction
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
yjhp1016/taichi_LBM3D
A 3D sparse LBM solver implemented using Taichi
peterbbryan/fourier-sketcher
Fourier based drawing script
AI-MOO/IBM-Machine-Learning-Professional-Certificate
Machine Learning, Time Series & Survival Analysis. Develop working skills in the main areas of Machine Learning: Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning. Also gain practice in specialized topics such as Time Series Analysis and Survival Analysis.