🧠 Train a 64M-parameter LLM from scratch in just 2h!
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Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
- artificial-intelligence
- cloud-ml
- computer-systems
- courseware
Best Practices on Recommendation Systems
- machine-learning
- recommender
- ranking
- deep-learning
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
- machine-learning
- machine-intelligence
- artificial-intelligence
- reinforcement-learning
Python Implementation of Reinforcement Learning: An Introduction
👀 Train a 65M-parameter VLM from scratch in just 2h!
- artificial-intelligence
- chatgpt
- vision-language-model
:speech_balloon: Machine Learning Course with Python:
- python
- machine-learning
- machine-learning-algorithms
- artificial-intelligence
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
This repo collects awesome AI tools. Welcome everyone to recommend more awesome AI tools together!
Curated list of the best truly open-source AI projects, models, tools, and infrastructure. Daily updated.
Translated"Large Language Models" (《大语言模型》), authors: Zhao Xin, Li Junyi, Zhou Kun, Tang Tianyi, Wen Jirong
- artificial-intelligence
- deep-learning
- deep-neural-networks
- deep-reinforcement-learning
Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
- deep-learning
- pytorch
- convolutional-neural-networks
- recurrent-neural-networks
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing