Mehrdad G Shirangi's repositories
visualization_ADGPRS
This repository contains MATLAB codes for visualization and plotting simulation results of Stanford ADGPRS (Automatic-Differentiation-based General Purpose Research Simulator).
awesome-image-classification
A curated list of deep learning image classification papers and codes
awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Bayesian_neural_network_papers
Papers for Bayesian-NN
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
benchm-ml
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
ChatPDF
Chat with any PDF. Easily upload the PDF documents you'd like to chat with. Instant answers. Ask questions, extract information, and summarize documents with AI. Sources included.
conversational-form
Turning web forms into conversations
learnopencv
Learn OpenCV : C++ and Python Examples
noisyopt
Python library for optimizing noisy functions.
pennai
the Penn AI engine.
python-scraping
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
recommenders
Best Practices on Recommendation Systems
scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
shirangi.github.io
:sparkles: Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
tfjs-examples
Examples built with TensorFlow.js
Time-LLM
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models
Time-Series-Library
A Library for Advanced Deep Time Series Models.