Showing 221-240 of 438 projects
Pen and paper exercises in machine learning for vibe coders
Curated list of useful LLM, analytics, and data science resources for developers working with AI tools.
A book on data science, covering topics from basic math to machine learning using Python and Jupyter Notebooks.
AIMET is an open-source library for advanced quantization and compression techniques in trained neural network models.
This repository contains samples for the MediaPipe framework, a cross-platform and customizable ML solution for live and batch media processing.
An AI-powered platform for building machine learning models from natural language prompts.
Python tutorial with a hands-on project for building an AI application
FeatureBase is a fast analytical database built on bitmaps, perfect for ML and data-intensive applications.
A collection of machine learning lessons and teaching projects designed for engineers.
Google Cloud Platform's Advanced Solutions Lab: ML Immersion provides AI-powered machine learning notebooks.
An educational repository providing machine learning tutorials and experiments for developers.
An open-source deep learning framework for building, training, and fine-tuning models using physics-ML methods.
A repository containing machine learning codes in finance, from theory to practice.
RasaGPT is the first headless LLM chatbot platform built on top of Rasa and Langchain.
Examples of using the MLX Swift library, a framework for building AI-powered applications in Swift.
This repository provides an educational resource for learning machine learning from scratch using Jupyter Notebooks.
100-day machine learning curriculum with hands-on projects and Jupyter notebooks for learning ML fundamentals.
CodeSearchNet provides datasets, tools, and benchmarks for representation learning of code, enabling AI-powered code discovery.
A specialized Python framework for generating high-quality structured tabular data for AI and ML applications.
High-performance machine learning algorithms with 2-2000x speed and 50% less memory usage for all hardware.
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