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Hello everyone this repo will contain my journey of machine learning and DeepLearning with some exciting projects
Local LLM with Ollama & PgVector made for Llama3.
🧑🏫 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, ... 🧠
Anti-Anti-Automation Framework
Google Colab Notebook describing step by step how to run Ollama with UI on Colab and expose created user interface to the internet.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
A selection of interesting Open dataset from the Italian Public Administration and Civic Data use cases
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
Appunti della Big Data Academy
The binclass-tools package contains a set of Python wrappers and interactive plots that facilitate the analysis of binary classification problems.
A repository of my Coursera latex code and notes
A local LLM chatbot using Code Llama
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.
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.
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
IPython notebook showing common errors about cross validation
The lecture slides for Coursera's Data Analysis class
Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.
Chat with your current directory's files using a local or API LLM.
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).
Miscellaneous examples
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
Code samples used on cloud.google.com
Web crawling and document processing through a usable interface.
Development of hedonic models of rents and sales prices for housing
This is a collection of DS, AI, ML, DL, NLP, Computer Vision job interview questions.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.