Non-LLM neural networks & ML foundations for advanced learners
106 resources · page 1 of 4
AI in the Sciences and Engineering
by Computational and Applied Mathematics Laboratory @ ETH Zurich
ETH CAMLab AI_Science_Engineering GitHub repo: course materials for AI in the Sciences and Engineering.
AirfRANS
by SimAI
AirfRANS GitHub repo: dataset and scripts for ML surrogates of RANS airfoil flow simulations.
AlphaChip (circuit_training)
Google Research circuit_training GitHub repo: AlphaChip framework for chip floorplanning with reinforcement learning.
AlphaDev
DeepMind AlphaDev GitHub repo: pseudocode and algorithms from the faster sorting algorithms paper.
google-deepmind/alphatensor
DeepMind AlphaTensor GitHub repo: code for discovering faster matrix multiplication algorithms with RL.
APEBench
by TUM Physics-based Simulation
TUM APEBench GitHub repo (NeurIPS 2024): benchmark suite for autoregressive neural PDE emulators.
Awex
by inclusionAI
inclusionAI Awex GitHub repo: weight synchronisation between RL training and inference engines.
Introducing: Be My AI (Be My Eyes)
by Be My Eyes
Be My Eyes announcement of Be My AI, a GPT-4-based visual assistant that describes images for blind and low-vision users.
amazon-science/chronos-forecasting
Amazon Chronos GitHub repo: pretrained foundation models for time-series forecasting.
Convolutional Neural Operator
by Computational and Applied Mathematics Laboratory @ ETH Zurich
ETH CAMLab Convolutional Neural Operator GitHub repo: official implementation for learning PDE solution operators.
Deep-learning laminar-flow surrogates
by TUM Physics-based Simulation
TUM dl-surrogates GitHub repo: deep learning surrogates for laminar flow and minimum drag shapes.
DeepSeek-R1
by DeepSeek
DeepSeek-R1 GitHub repo: model summary, evaluation and usage for DeepSeek-R1 and R1-Zero reasoning models.
DGL
by DGL team
Deep Graph Library (DGL): framework for deep learning on graphs, with docs and examples.
DiffEqFlux.jl
by SciML Open Source Scientific Machine Learning
SciML DiffEqFlux.jl GitHub repo: neural differential equation layers in Julia.
facebookresearch/dinov2
Meta DINOv2 GitHub repo: PyTorch code and models for self-supervised visual features.
Distill (archive)
by Distill
Distill: archived journal of interactive, visual machine learning research articles.
facebookresearch/dlrm
Meta DLRM GitHub repo: implementation of a deep learning recommendation model.
FinRL
FinRL GitHub repo (AI4Finance): financial reinforcement learning framework for trading.
Flow
by flow-project
Flow (UC Berkeley): framework combining traffic simulation and deep RL for mixed-autonomy traffic control.
FunASR
by ModelScope
ModelScope FunASR GitHub repo: speech recognition toolkit for training, inference and streaming ASR.
Generative Recommenders (HSTU)
by meta-recsys
Meta generative-recommenders GitHub repo: code for HSTU generative recommendation from Actions Speak Louder than Words.
Geometric Deep Learning (Bronstein et al.)
by Michael Bronstein, Joan Bruna, Taco Cohen and Petar Veličković
Geometric Deep Learning site (Bronstein et al.): proto-book and lectures on grids, groups, graphs and geodesics.
Graph Network-based Simulators
DeepMind learning_to_simulate code on GitHub: graph network-based simulators for particle physics.
Gymnasium
Gymnasium documentation: standard API and reference environments for reinforcement learning (formerly OpenAI Gym).
InternVL
by OpenGVLab
OpenGVLab InternVL GitHub repo: open-source multimodal model family with code and weights.
Lviv Polytechnic: recommendations on applying generative AI
by Lviv Polytechnic National University
Lviv Polytechnic recommendations on applying generative AI in academic journals and conferences.
Mava
InstaDeep Mava GitHub repo: codebase for experiments in multi-agent reinforcement learning.
MBZUAI ORYX
by ORYX
MBZUAI ORYX GitHub organisation: code for vision-language models and multimodal evaluation.
MindSpore framework
by MindSpore
MindSpore GitHub repo: Huawei's open-source deep learning training and inference framework.
Moirai (uni2ts)
Salesforce uni2ts GitHub repo: training code for Moirai universal time-series forecasting models.
MS-SWIFT
by ModelScope
ModelScope ms-swift GitHub repo: framework for PEFT and full fine-tuning, DPO and GRPO of 600+ LLMs.
NeuralForecast
by Nixtla
Nixtla NeuralForecast GitHub repo: library of neural time-series forecasting models such as N-BEATS and NHITS.