Llm Fundamentals: 139 curated resources
Curated material on llm fundamentals within foundations.
139 resources · page 2 of 5
NeuralPDE.jl
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SciML NeuralPDE.jl GitHub repo: physics-informed neural network solvers for PDEs in Julia.
OpenAI Spinning Up
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OpenAI Spinning Up: educational guide to deep reinforcement learning with algorithm explanations and code.
OpenRLHF
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OpenRLHF GitHub repo: Ray and vLLM based framework for RLHF and agentic RL training.
OpenSpiel
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DeepMind OpenSpiel GitHub repo: environments and algorithms for reinforcement learning and search in games.
PyTorch Geometric
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PyTorch Geometric (PyG) documentation: library for building and training graph neural networks.
Qwen3-VL
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QwenLM Qwen3-VL GitHub repo: multimodal large language model series with usage code.
RecBole
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RUCAIBox RecBole GitHub repo: unified library of recommendation algorithms for reproducible comparison.
Recommenders
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Recommenders GitHub repo: examples and utilities for building recommendation systems.
SciML Book (MIT 18.337)
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SciML Book: lecture notes from MIT 18.337 on parallel computing and scientific machine learning.
slime
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THUDM slime GitHub repo: Megatron and SGLang based framework for RL post-training at scale, used for GLM.
Solver-in-the-Loop
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TUM Solver-in-the-Loop GitHub repo: learning from differentiable physics to correct iterative PDE solvers.
TabPFN (Prior Labs, Freiburg)
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Prior Labs TabPFN GitHub repo: foundation model for tabular classification and regression.
THUDM (Tsinghua KEG) GitHub
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THUDM GitHub organisation (Tsinghua KEG and Zhipu): code for ChatGLM, GLM-4, CogVLM, CogVideoX and AgentBench.
google-research/timesfm
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Google Research TimesFM GitHub repo: pretrained time-series foundation model for forecasting.
pytorch-image-models (timm)
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Hugging Face timm GitHub repo: PyTorch image models, encoders and training scripts.
Ultralytics YOLO
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Ultralytics GitHub repo: YOLO models for object detection, segmentation and pose estimation.
verl
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verl GitHub repo (originally ByteDance): RL post-training framework used for RLVR.
verl / HybridFlow
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verl GitHub repo: HybridFlow framework for distributed RL post-training of LLMs.
VinAI
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VinAI site: Vietnamese company doing AI research and building applied AI products.
WGA: AI provisions of the 2023 MBA
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WGA page on artificial intelligence provisions in the 2023 Minimum Basic Agreement.
X recommendation algorithm
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twitter the-algorithm GitHub repo: source code of the X recommendation algorithm services.
XGBoost Documentation
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XGBoost documentation: distributed gradient boosting library, a standard non-neural baseline for tabular data.
3Blue1Brown Neural Networks
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3Blue1Brown neural networks series: visual video lessons explaining neural networks, backpropagation and transformers.
An Introduction to Statistical Learning
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Author site for An Introduction to Statistical Learning, with free PDF and labs in R and Python.
Deep Learning School (DLS) МФТИ
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Deep Learning School from MIPT: free Russian-language online course on computer vision, NLP, LLMs and generative models.
fast.ai Practical Deep Learning
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fast.ai Practical Deep Learning for Coders: free course teaching deep learning through code-first notebooks.
HF Deep RL Course
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Hugging Face Deep Reinforcement Learning Course: free course on RL theory and practice with hands-on units.
The Illustrated Transformer
by Jay Alammar
See how attention and encoder-decoder blocks fit together.
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.
Unsloth RL / GRPO guide
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Unsloth reinforcement learning guide: training reasoning models with GRPO, with linked tutorials and advanced RL docs.
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.