---
id: "/tags/non-llm-neural-networks-ml-foundations/page/2/"
title: "Non Llm Neural Networks Ml Foundations · page 2"
url: "https://skillissue.dev/tags/non-llm-neural-networks-ml-foundations/page/2/"
---

# Non Llm Neural Networks Ml Foundations

[Beginner](/levels/beginner/index.md) [Intermediate](/levels/intermediate/index.md) [Advanced](/levels/advanced/index.md) [Expert](/levels/expert/index.md)

138 resources · page 2 of 5

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### [NeuralPDE.jl](/foundations/llm-fundamentals/neuralpde-jl/index.md)

by [SciML Open Source Scientific Machine Learning](https://sciml.ai)

SciML NeuralPDE.jl GitHub repo: physics-informed neural network solvers for PDEs in Julia.

entity repo Global — SciML en 

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### [OpenAI Spinning Up](/foundations/llm-fundamentals/openai-spinning-up/index.md)

by [OpenAI](https://openai.com/)

OpenAI Spinning Up: educational guide to deep reinforcement learning with algorithm explanations and code.

entity org West en 

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

by [OpenRLHF](https://github.com/OpenRLHF)

OpenRLHF GitHub repo: Ray and vLLM based framework for RLHF and agentic RL training.

entity repo China en|zh 

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

by [Google DeepMind](https://www.deepmind.com/)

DeepMind OpenSpiel GitHub repo: environments and algorithms for reinforcement learning and search in games.

entity repo West en 

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### [PyTorch Geometric](/foundations/llm-fundamentals/pytorch-geometric/index.md)

by [PyG team (Matthias Fey)](https://pyg.org/)

PyTorch Geometric (PyG) documentation: library for building and training graph neural networks.

entity org West en 

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### [Qwen3-VL](/foundations/llm-fundamentals/qwen3-vl-technical-repository/index.md)

by [Qwen](https://qwen.ai/)

QwenLM Qwen3-VL GitHub repo: multimodal large language model series with usage code.

entity repo China zh 

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

by [RUCAIBox](https://aibox.ruc.edu.cn/)

RUCAIBox RecBole GitHub repo: unified library of recommendation algorithms for reproducible comparison.

entity repo China/global en 

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

by [Recommenders team](https://github.com/recommenders-team)

Recommenders GitHub repo: examples and utilities for building recommendation systems.

entity repo Global en 

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### [SciML Book (MIT 18.337)](/foundations/llm-fundamentals/sciml-book-mit-18-337/index.md)

by [Chris Rackauckas (MIT 18.337)](https://book.sciml.ai/)

SciML Book: lecture notes from MIT 18.337 on parallel computing and scientific machine learning.

entity org West en 

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

by [THUKEG](https://huggingface.co/THUDM)

THUDM slime GitHub repo: Megatron and SGLang based framework for RL post-training at scale, used for GLM.

entity repo China en 

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### [Solver-in-the-Loop](/foundations/llm-fundamentals/solver-in-the-loop/index.md)

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

TUM Solver-in-the-Loop GitHub repo: learning from differentiable physics to correct iterative PDE solvers.

entity repo EU-DE en 

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### [TabPFN (Prior Labs, Freiburg)](/foundations/llm-fundamentals/tabpfn-prior-labs-freiburg/index.md)

by [Prior Labs](https://www.priorlabs.ai)

Prior Labs TabPFN GitHub repo: foundation model for tabular classification and regression.

entity repo West en 

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### [THUDM (Tsinghua KEG) GitHub](/foundations/llm-fundamentals/thudm-tsinghua-keg-github/index.md)

by [THUKEG](https://huggingface.co/THUDM)

THUDM GitHub organisation (Tsinghua KEG and Zhipu): code for ChatGLM, GLM-4, CogVLM, CogVideoX and AgentBench.

entity lab China en 

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### [google-research/timesfm](/foundations/llm-fundamentals/timesfm/index.md)

by [Google Research](https://research.google)

Google Research TimesFM GitHub repo: pretrained time-series foundation model for forecasting.

entity repo West en 

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### [pytorch-image-models (timm)](/foundations/llm-fundamentals/timm/index.md)

by [Hugging Face](https://huggingface.co/)

Hugging Face timm GitHub repo: PyTorch image models, encoders and training scripts.

entity repo West en 

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### [Ultralytics YOLO](/foundations/llm-fundamentals/ultralytics-yolo/index.md)

by [Ultralytics](https://ultralytics.com)

Ultralytics GitHub repo: YOLO models for object detection, segmentation and pose estimation.

entity repo West en 

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

by [verl-project](https://github.com/verl-project)

verl GitHub repo (originally ByteDance): RL post-training framework used for RLVR.

entity repo China en|zh 

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### [verl / HybridFlow](/foundations/llm-fundamentals/verl-hybridflow/index.md)

by [verl-project](https://github.com/verl-project)

verl GitHub repo: HybridFlow framework for distributed RL post-training of LLMs.

entity repo China; Singapore; international zh 

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

by [VinAI](https://vinai.io/)

VinAI site: Vietnamese company doing AI research and building applied AI products.

entity org Vietnam en 

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### [WGA: AI provisions of the 2023 MBA](/foundations/llm-fundamentals/wga-ai-provisions-of-the-2023-mba/index.md)

by [Writers Guild of America West](https://wga.org/)

WGA page on artificial intelligence provisions in the 2023 Minimum Basic Agreement.

entity standard-policy US en 

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### [X recommendation algorithm](/foundations/llm-fundamentals/x-recommendation-algorithm/index.md)

by [X (fka Twitter)](https://github.com/twitter)

twitter the-algorithm GitHub repo: source code of the X recommendation algorithm services.

entity repo West en 

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### [XGBoost Documentation](/foundations/llm-fundamentals/xgboost-non-nn-baseline/index.md)

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

XGBoost documentation: distributed gradient boosting library, a standard non-neural baseline for tabular data.

entity org West en 

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### [3Blue1Brown Neural Networks](/foundations/llm-fundamentals/3blue1brown-neural-networks/index.md)

by [Grant Sanderson (3Blue1Brown)](https://www.3blue1brown.com/)

3Blue1Brown neural networks series: visual video lessons explaining neural networks, backpropagation and transformers.

Beginner learning_resource course US en 

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### [An Introduction to Statistical Learning](/foundations/llm-fundamentals/an-introduction-to-statistical-learning/index.md)

by [Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani](https://www.statlearning.com/)

Author site for An Introduction to Statistical Learning, with free PDF and labs in R and Python.

Beginner learning_resource course US en 

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### [Deep Learning School (DLS) МФТИ](/foundations/llm-fundamentals/deep-learning-school-dls/index.md)

by [Deep Learning School (MIPT)](https://dls.samcs.ru/)

Deep Learning School from MIPT: free Russian-language online course on computer vision, NLP, LLMs and generative models.

Beginner–Intermediate learning_resource course Russia ru 

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

by [fast.ai (Jeremy Howard)](https://www.fast.ai/)

fast.ai Practical Deep Learning for Coders: free course teaching deep learning through code-first notebooks.

Beginner learning_resource course Australia; international en 

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### [HF Deep RL Course](/foundations/llm-fundamentals/hf-deep-rl-course/index.md)

by [Hugging Face](https://huggingface.co/)

Hugging Face Deep Reinforcement Learning Course: free course on RL theory and practice with hands-on units.

Beginner–Intermediate learning_resource course US/France en 

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### [Neural Networks: Zero to Hero (Karpathy)](/foundations/llm-fundamentals/neural-networks-zero-to-hero-karpathy/index.md)

by [Andrej Karpathy](https://karpathy.ai/)

Andrej Karpathy's Neural Networks: Zero to Hero video course, building micrograd, makemore, GPT and a tokenizer in code.

Beginner–Intermediate learning_resource course US en 

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### [Unsloth RL / GRPO guide](/foundations/llm-fundamentals/unsloth-rl-grpo-guide/index.md)

by [Unsloth AI](https://unsloth.ai/)

Unsloth reinforcement learning guide: training reasoning models with GRPO, with linked tutorials and advanced RL docs.

Beginner–Intermediate learning_resource guide Australia/US en 

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### [ImageNet Classification with Deep Convolutional Neural Networks (NeurIPS Proceedings)](/foundations/llm-fundamentals/alexnet/index.md)

by [Alex Krizhevsky, Ilya Sutskever and Geoffrey E. Hinton (University of Toronto)](https://www.utoronto.ca/)

AlexNet paper (NIPS 2012) by Krizhevsky, Sutskever and Hinton: deep convolutional network for ImageNet classification.

Intermediate learning_resource guide West en 

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

by [Google DeepMind](https://deepmind.google/)

Google DeepMind AlphaGo page covering the Go-playing system, its matches and the research papers behind it.

Intermediate learning_resource blog UK en 

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### [AlphaStar: Mastering the real-time strategy game StarCraft II](/foundations/llm-fundamentals/alphastar-2/index.md)

by [Google DeepMind](https://deepmind.google/)

Google DeepMind post on AlphaStar, the reinforcement-learning system that reached Grandmaster level in StarCraft II.

Intermediate learning_resource blog UK en 

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