AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.
-
Updated
Jun 3, 2024 - Jupyter Notebook
AI POCS: ML, NLP, LLM, Vision, Classification, clustering, GenAI, Transformers, PyTorch, Keras, All things AI POCS.
BDA - basic ~ comprehensive ~ project
Mambular is a Python package that brings the power of Mamba architectures to tabular data, offering a suite of deep learning models for regression, classification, and distributional regression tasks.
A collection of 8 Applied Data Science projects.
This project aims to predict salary of newly hired employees using machine learning techniques. It utilizes employees data and applies machine learning algorithms to predict salary for newly hired employees.
Statistical Machine Intelligence & Learning Engine
Final project for ML course at UPC
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
How weather directly impacts renewable energy generation.
Music album popularity prediction classic ML model showcasting MLOps, versioning, feature selection, cross valdiation and concept drift.
A Supervised ML based web app which helps to predict your medical insurance premium costs
Master the essentials of data science and machine learning by building a used car price prediction model from scratch, turning raw data into accurate pricing insights
mlpack: a fast, header-only C++ machine learning library
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Machine Learning Step By Step Implementation project with templates and evaluations for faster implementation
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
IBM Machine Learning Professional Certificate projects
Add a description, image, and links to the regression topic page so that developers can more easily learn about it.
To associate your repository with the regression topic, visit your repo's landing page and select "manage topics."