Non-LLM neural networks & ML foundations for beginner learners
61 resources · page 2 of 2
NeuralPDE.jl
by SciML Open Source Scientific Machine Learning
SciML NeuralPDE.jl GitHub repo: physics-informed neural network solvers for PDEs in Julia.
OpenAI Spinning Up
by OpenAI
OpenAI Spinning Up: educational guide to deep reinforcement learning with algorithm explanations and code.
OpenRLHF
by OpenRLHF
OpenRLHF GitHub repo: Ray and vLLM based framework for RLHF and agentic RL training.
OpenSpiel
DeepMind OpenSpiel GitHub repo: environments and algorithms for reinforcement learning and search in games.
PyTorch Geometric
PyTorch Geometric (PyG) documentation: library for building and training graph neural networks.
Qwen3-VL
by Qwen
QwenLM Qwen3-VL GitHub repo: multimodal large language model series with usage code.
RecBole
by RUCAIBox
RUCAIBox RecBole GitHub repo: unified library of recommendation algorithms for reproducible comparison.
Recommenders
Recommenders GitHub repo: examples and utilities for building recommendation systems.
SciML Book (MIT 18.337)
by Chris Rackauckas (MIT 18.337)
SciML Book: lecture notes from MIT 18.337 on parallel computing and scientific machine learning.
slime
by THUKEG
THUDM slime GitHub repo: Megatron and SGLang based framework for RL post-training at scale, used for GLM.
Solver-in-the-Loop
by TUM Physics-based Simulation
TUM Solver-in-the-Loop GitHub repo: learning from differentiable physics to correct iterative PDE solvers.
TabPFN (Prior Labs, Freiburg)
by Prior Labs
Prior Labs TabPFN GitHub repo: foundation model for tabular classification and regression.
THUDM (Tsinghua KEG) GitHub
by THUKEG
THUDM GitHub organisation (Tsinghua KEG and Zhipu): code for ChatGLM, GLM-4, CogVLM, CogVideoX and AgentBench.
google-research/timesfm
Google Research TimesFM GitHub repo: pretrained time-series foundation model for forecasting.
pytorch-image-models (timm)
by Hugging Face
Hugging Face timm GitHub repo: PyTorch image models, encoders and training scripts.
Ultralytics YOLO
by Ultralytics
Ultralytics GitHub repo: YOLO models for object detection, segmentation and pose estimation.
verl
by verl-project
verl GitHub repo (originally ByteDance): RL post-training framework used for RLVR.
verl / HybridFlow
by verl-project
verl GitHub repo: HybridFlow framework for distributed RL post-training of LLMs.
VinAI
by VinAI
VinAI site: Vietnamese company doing AI research and building applied AI products.
WGA: AI provisions of the 2023 MBA
by Writers Guild of America West
WGA page on artificial intelligence provisions in the 2023 Minimum Basic Agreement.
X recommendation algorithm
twitter the-algorithm GitHub repo: source code of the X recommendation algorithm services.
XGBoost Documentation
XGBoost documentation: distributed gradient boosting library, a standard non-neural baseline for tabular data.
3Blue1Brown Neural Networks
by Grant Sanderson (3Blue1Brown)
3Blue1Brown neural networks series: visual video lessons explaining neural networks, backpropagation and transformers.
An Introduction to Statistical Learning
by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
Author site for An Introduction to Statistical Learning, with free PDF and labs in R and Python.
Deep Learning School (DLS) МФТИ
by Deep Learning School (MIPT)
Deep Learning School from MIPT: free Russian-language online course on computer vision, NLP, LLMs and generative models.
fast.ai Practical Deep Learning
fast.ai Practical Deep Learning for Coders: free course teaching deep learning through code-first notebooks.
HF Deep RL Course
by Hugging Face
Hugging Face Deep Reinforcement Learning Course: free course on RL theory and practice with hands-on units.
Neural Networks: Zero to Hero (Karpathy)
Andrej Karpathy's Neural Networks: Zero to Hero video course, building micrograd, makemore, GPT and a tokenizer in code.
Unsloth RL / GRPO guide
by Unsloth AI
Unsloth reinforcement learning guide: training reasoning models with GRPO, with linked tutorials and advanced RL docs.