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Tutorial for Harvard Medical School ML from Scratch Series: Transformer from Scratch. Demo the usage of transformer in various domains: Music sheet, audio signal, image generation & discrimination

This repository is dedicated to building ML & DL algorithms from scratch

A minimalist machine learning library built from scratch by IFRI AI students to explore and understand core ML algorithms.🇧🇯

implementation of several Supervised, Unsupervised, Bayesian, Neural Networks and Reinforcement Learning Algorithms from scratch with only numpy and basic libs.

ML algorithms from scratch

Machine learning from scratch in Julia

A comprehensive collection of course materials for learning full-stack data science and machine learning, covering Python, SQL, web development, and ML algorithms. Includes tutorials, datasets, and projects to build end-to-end data-driven applications from scratch.

A comprehensive collection of machine learning algorithms implemented from scratch and using popular libraries, with detailed explanations and practical examples.

Comprehensive ML curriculum: from NumPy to Neural Networks. 50+ Jupyter notebooks with from-scratch implementations and real-world projects.

本项目提供一个从零开始构建多模态大模型（MLLM）的完整实践路径，使用纯 PyTorch 手写 Transformer、Vision Transformer 和 GPT-style LLM，并通过 Connector 融合成可“看图说话”的多模态模型。同时，项目支持基于 SCST 的强化学习微调，实现从监督训练到奖励优化的端到端扩展。