Foundations
Understand language models and choose a learning path.
- Llm Fundamentals (139)
- Courses And Learning Paths (179)
- From Scratch Implementations (1)
- Practitioner Overviews (387)
706 resources · page 18 of 23
Neural Networks: Zero to Hero (Karpathy)
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Andrej Karpathy's Neural Networks: Zero to Hero video course, building micrograd, makemore, GPT and a tokenizer in code.
ODS.ai course tracks
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Open Data Science course tracks: Russian-language courses on NLP, LLMs, MLOps and other ML topics.
Prompt Engineering Guide (DAIR.AI)
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DAIR.AI Prompt Engineering Guide: overview of prompting techniques, applications and model notes, in many languages.
Rob Miles (@robertskmiles)
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Rob Miles' YouTube channel: explainers on AI alignment problems.
TeddyNote 테디노트
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TeddyNote YouTube channel: Korean-language tutorials on applied LLMs, RAG and LangChain.
Transformer Explainer (Georgia Tech)
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Georgia Tech Transformer Explainer: interactive in-browser visualisation of how a GPT-2 transformer works.
Transkribus Help Center
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Transkribus Help Center: guides to training and applying handwriting-recognition models on documents.
Unsloth RL / GRPO guide
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Unsloth reinforcement learning guide: training reasoning models with GRPO, with linked tutorials and advanced RL docs.
Учебник по машинному обучению / YSDA ML textbook
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Yandex School of Data Analysis ML textbook in Russian, from basic algorithms to current research, with maths and code.
ImageNet Classification with Deep Convolutional Neural Networks (NeurIPS Proceedings)
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AlexNet paper (NIPS 2012) by Krizhevsky, Sutskever and Hinton: deep convolutional network for ImageNet classification.
AlphaGo
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Google DeepMind AlphaGo page covering the Go-playing system, its matches and the research papers behind it.
AlphaStar: Mastering the real-time strategy game StarCraft II
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Google DeepMind post on AlphaStar, the reinforcement-learning system that reached Grandmaster level in StarCraft II.
Neural Networks: Zero to Hero
Learn neural networks by implementing them in Python.
AssemblyAI engineering blog
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AssemblyAI blog with guides, model launches and voice-agent builds for speech AI.
CatBoost documentation
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CatBoost documentation: Yandex's open-source gradient boosting library with native handling of categorical features.
CFA Institute: AI in Asset Management report 2025
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CFA Institute press release on its 2025 report about AI adoption in asset management.
ChinaTalk (Jordan Schneider, Irene Zhang)
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ChinaTalk newsletter and podcast on China, technology and US policy, including interviews with Chinese AI lab staff.
CMU 11-667 LLMs: Methods & Applications
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CMU 11-667 course site: graduate course on large language model methods and applications, with schedule and materials.
Decree of the President of the Russian Federation on the Development of AI (CSET translation)
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CSET English translation of Russia's 2019 presidential decree on the development of artificial intelligence.
Darts
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Darts documentation: Python library for time-series forecasting and anomaly detection with backtesting.
Easy-RL / 蘑菇书
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Datawhale Easy-RL GitHub repo: Chinese reinforcement-learning tutorial (Mushroom Book) with code.
eScriptorium
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eScriptorium documentation: open platform for transcribing and annotating historical documents with OCR and HTR.
EU AI Act Art.3 definitions
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EU AI Act Article 3 text: the legal definitions used throughout the regulation, such as AI system and provider.
Full Stack Deep Learning
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Full Stack Deep Learning site with course materials and LLM Bootcamp lectures on building AI-powered products.
girafe-ai ML course
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girafe-ai ml-course GitHub repo: open machine learning course with lecture materials and assignments, in Russian.
Goodfellow et al., Deep Learning
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Author site for the Deep Learning textbook by Goodfellow, Bengio and Courville, free to read online.
Google ML Glossary
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Google Machine Learning Glossary defining ML terms, including TensorFlow and large language model terminology.
Habr ML hub
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Habr machine learning hub: Russian-language articles on ML from practitioners and companies.
Happy-LLM
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Datawhale Happy-LLM GitHub repo: Chinese tutorial on building an LLM from scratch, covering tokenizer, pretraining, SFT, LoRA, RAG and agents.
HF Transformers glossary
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Hugging Face Transformers glossary defining terms used in transformer models and the library.
HousingWire: AI fair housing remarks checklist
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HousingWire checklist for reviewing AI-written property listing remarks for fair-housing and accuracy issues.
HSE CS wiki
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HSE Faculty of Computer Science wiki with course pages for machine learning and deep learning, in Russian.