---
id: "/non-llm-neural-networks-ml-foundations/intermediate/page/3/"
title: "Non-LLM neural networks & ML foundations for intermediate learners · page 3"
url: "https://skillissue.dev/non-llm-neural-networks-ml-foundations/intermediate/page/3/"
---

# Non-LLM neural networks & ML foundations for intermediate learners

[Beginner](/non-llm-neural-networks-ml-foundations/beginner/index.md) [Intermediate](/non-llm-neural-networks-ml-foundations/intermediate/index.md) [Advanced](/non-llm-neural-networks-ml-foundations/advanced/index.md) [Expert](/non-llm-neural-networks-ml-foundations/expert/index.md)

81 resources · page 3 of 3

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### [Karpathy: Unreasonable Effectiveness of RNNs](/foundations/llm-fundamentals/karpathy-unreasonable-effectiveness-of-rnns/index.md)

by [Andrej](https://x.com/karpathy)

Andrej Karpathy's 2015 essay The Unreasonable Effectiveness of Recurrent Neural Networks, with char-RNN examples.

Intermediate learning_resource guide West en 

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### [LightGBM documentation](/foundations/llm-fundamentals/lightgbm-documentation/index.md)

by [Microsoft (LightGBM)](https://github.com/microsoft/LightGBM)

LightGBM documentation: gradient boosting framework with tree-based learning, tuning guides and distributed training.

Intermediate learning_resource docs International en 

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### [Recurrent Neural Networks and LSTM (Jürgen Schmidhuber)](/foundations/llm-fundamentals/lstm/index.md)

by [Jürgen Schmidhuber](https://people.idsia.ch/)

Jürgen Schmidhuber's IDSIA page on recurrent neural networks and LSTM, with history and references.

Intermediate learning_resource guide EU-DE en 

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### [NYU Deep Learning (LeCun/Canziani)](/foundations/llm-fundamentals/nyu-deep-learning-lecun-canziani/index.md)

by [Alfredo Canziani](https://atcold.github.io/)

NYU Deep Learning course (Spring 2021) by Yann LeCun and Alfredo Canziani, with lectures, labs and notebooks.

Intermediate learning_resource guide West en 

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### [OECD AI Recommendation (OECD-LEGAL-0449)](/foundations/llm-fundamentals/oecd-ai-recommendation-oecd-legal-0449/index.md)

by [OECD](https://www.oecd.org/)

OECD Recommendation of the Council on Artificial Intelligence, the source of the OECD AI Principles and AI system definition.

Intermediate learning_resource docs Global en|fr 

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### [PDE-Transformer](/foundations/llm-fundamentals/pde-transformer/index.md)

by [TUM Physics-based Simulation](https://ge.in.tum.de)

PDE-Transformer project page: transformer architecture for learning partial differential equations from data.

Intermediate learning_resource guide EU-DE en 

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### [Physics-based Deep Learning (TUM)](/foundations/llm-fundamentals/physics-based-deep-learning-tum/index.md)

by [Nils Thuerey et al. (TU Munich)](https://physicsbaseddeeplearning.org/)

Physics-based Deep Learning book from TUM: hands-on guide to combining physical simulation with deep learning.

Intermediate learning_resource guide West en 

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### [PointNet](/foundations/llm-fundamentals/pointnet/index.md)

by [Charles R. Qi et al. (Stanford University)](https://www.stanford.edu/)

PointNet project page: deep network architecture that consumes raw point clouds for 3D classification and segmentation.

Intermediate learning_resource guide US en 

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### [Roboflow documentation](/foundations/llm-fundamentals/roboflow-documentation/index.md)

by [Roboflow](https://roboflow.com/)

Roboflow documentation for building computer-vision datasets, training models and deploying them.

Intermediate learning_resource docs US en 

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### [sktime](/foundations/llm-fundamentals/sktime/index.md)

by [sktime](https://sktime.net/)

sktime: open-source Python framework for time-series forecasting, classification and anomaly detection.

Intermediate learning_resource docs Global en 

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### [Soniox Docs: Models](/foundations/llm-fundamentals/soniox-speech-model-registry-and-lifecycle-notes/index.md)

by [Soniox](https://soniox.com/)

Soniox models page listing speech-to-text model versions, changelog and deprecations.

Intermediate learning_resource docs United States; Slovenia en 

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### [Speechmatics technical articles](/foundations/llm-fundamentals/speechmatics-technical-articles/index.md)

by [Speechmatics](https://speechmatics.com/)

Speechmatics articles on speech recognition technology, product news and AI research.

Intermediate learning_resource guide UK en 

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### [UvA Deep Learning tutorials](/foundations/llm-fundamentals/uva-deep-learning-tutorials/index.md)

by [Phillip Lippe (University of Amsterdam)](https://uvadlc.github.io/)

University of Amsterdam deep learning tutorial notebooks in PyTorch and JAX/Flax, covering core architectures.

Intermediate learning_resource guide West en 

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### [XGBoost documentation](/foundations/llm-fundamentals/xgboost-documentation/index.md)

by [XGBoost project (DMLC)](https://xgboost.ai/)

XGBoost documentation: distributed gradient boosting library with training, GPU support and parameter guides.

Intermediate learning_resource docs International en 

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### [YSDA Practical Deep Learning](/foundations/llm-fundamentals/ysda-practical-deep-learning/index.md)

by [Yandex School of Data Analysis](https://yandexdataschool.com)

YSDA Practical_DL GitHub repo: deep learning course materials from Yandex School of Data Analysis, HSE and Skoltech.

Intermediate learning_resource course Russia; international en 

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### [YSDA Practical RL](/foundations/llm-fundamentals/ysda-practical-rl/index.md)

by [Yandex School of Data Analysis](https://yandexdataschool.com)

YSDA Practical_RL GitHub repo: open reinforcement-learning course with notebooks and assignments from HSE and YSDA.

Intermediate–Advanced learning_resource course Russia en|ru 

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### [Zoom Scribe API documentation](/foundations/llm-fundamentals/zoom-scribe-speech-to-text-api-documentation/index.md)

by [Zoom](https://www.zoom.com/)

Zoom Scribe API documentation: transcription service for many media formats, with modes and authentication details.

Intermediate learning_resource docs United States en 

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