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pm2r's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

applied-ml icon applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

binclass-tools icon binclass-tools

The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.

colab-as-vps icon colab-as-vps

This GitHub repository is a guide on using Google Colaboratory as a virtual private server (VPS). It includes instructions on setup and configuration, as well as sample code for various applications. Ideal for developers, researchers, or anyone looking to run a server on a budget.

convolutional-kans icon convolutional-kans

This project extends the idea of the innovative architecture of Kolmogorov-Arnold Networks (KAN) to the Convolutional Layers, changing the classic linear transformation of the convolution to learnable non linear activations in each pixel.

courses icon courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

datasciencecoursera icon datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

dir-assistant icon dir-assistant

Chat with your current directory's files using a local or API LLM.

dse203_data-integration_etl icon dse203_data-integration_etl

The course is designed to provide students with the fundamentals of data integration and includes: schema mapping and matching, entity disambiguation, ontology development and management, data provenance, and crowd sourcing and machine learning as strategies for integration. The course will also require hands-on projects in which students will work on a data integration problem requiring integration of two or more datasets taken from an application domain of their choice (e.g. geospatial data, healthcare, financial applications, bioinformatics, etc).

harvester icon harvester

Web crawling and document processing through a usable interface.

hedonic-models icon hedonic-models

Development of hedonic models of rents and sales prices for housing

interviewquestions icon interviewquestions

This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.

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