Non Llm Neural Networks Ml Foundations

138 resources · page 1 of 5

• AI in the Sciences and Engineering

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  ETH CAMLab AI_Science_Engineering GitHub repo: course materials for AI in the Sciences and Engineering.

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• AirfRANS

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  AirfRANS GitHub repo: dataset and scripts for ML surrogates of RANS airfoil flow simulations.

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• AlphaChip (circuit_training)

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  Google Research circuit_training GitHub repo: AlphaChip framework for chip floorplanning with reinforcement learning.

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• AlphaDev

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  DeepMind AlphaDev GitHub repo: pseudocode and algorithms from the faster sorting algorithms paper.

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• google-deepmind/alphatensor

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  DeepMind AlphaTensor GitHub repo: code for discovering faster matrix multiplication algorithms with RL.

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• APEBench

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  TUM APEBench GitHub repo (NeurIPS 2024): benchmark suite for autoregressive neural PDE emulators.

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• Awex

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  inclusionAI Awex GitHub repo: weight synchronisation between RL training and inference engines.

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• Introducing: Be My AI (Be My Eyes)

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  Be My Eyes announcement of Be My AI, a GPT-4-based visual assistant that describes images for blind and low-vision users.

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• amazon-science/chronos-forecasting

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  Amazon Chronos GitHub repo: pretrained foundation models for time-series forecasting.

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• Convolutional Neural Operator

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  ETH CAMLab Convolutional Neural Operator GitHub repo: official implementation for learning PDE solution operators.

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• Deep-learning laminar-flow surrogates

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  TUM dl-surrogates GitHub repo: deep learning surrogates for laminar flow and minimum drag shapes.

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• DeepSeek-R1

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  DeepSeek-R1 GitHub repo: model summary, evaluation and usage for DeepSeek-R1 and R1-Zero reasoning models.

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• DGL

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  Deep Graph Library (DGL): framework for deep learning on graphs, with docs and examples.

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• DiffEqFlux.jl

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  SciML DiffEqFlux.jl GitHub repo: neural differential equation layers in Julia.

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• facebookresearch/dinov2

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  Meta DINOv2 GitHub repo: PyTorch code and models for self-supervised visual features.

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• Distill (archive)

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  Distill: archived journal of interactive, visual machine learning research articles.

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• facebookresearch/dlrm

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  Meta DLRM GitHub repo: implementation of a deep learning recommendation model.

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• FinRL

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  FinRL GitHub repo (AI4Finance): financial reinforcement learning framework for trading.

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• Flow

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  Flow (UC Berkeley): framework combining traffic simulation and deep RL for mixed-autonomy traffic control.

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• FunASR

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  ModelScope FunASR GitHub repo: speech recognition toolkit for training, inference and streaming ASR.

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• Generative Recommenders (HSTU)

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  Meta generative-recommenders GitHub repo: code for HSTU generative recommendation from Actions Speak Louder than Words.

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• Geometric Deep Learning (Bronstein et al.)

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  Geometric Deep Learning site (Bronstein et al.): proto-book and lectures on grids, groups, graphs and geodesics.

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• Graph Network-based Simulators

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  DeepMind learning_to_simulate code on GitHub: graph network-based simulators for particle physics.

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• Gymnasium

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  Gymnasium documentation: standard API and reference environments for reinforcement learning (formerly OpenAI Gym).

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• InternVL

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  OpenGVLab InternVL GitHub repo: open-source multimodal model family with code and weights.

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• Lviv Polytechnic: recommendations on applying generative AI

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  Lviv Polytechnic recommendations on applying generative AI in academic journals and conferences.

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• Mava

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  InstaDeep Mava GitHub repo: codebase for experiments in multi-agent reinforcement learning.

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• MBZUAI ORYX

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  MBZUAI ORYX GitHub organisation: code for vision-language models and multimodal evaluation.

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• MindSpore framework

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  MindSpore GitHub repo: Huawei's open-source deep learning training and inference framework.

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• Moirai (uni2ts)

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  Salesforce uni2ts GitHub repo: training code for Moirai universal time-series forecasting models.

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• MS-SWIFT

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  ModelScope ms-swift GitHub repo: framework for PEFT and full fine-tuning, DPO and GRPO of 600+ LLMs.

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• NeuralForecast

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  Nixtla NeuralForecast GitHub repo: library of neural time-series forecasting models such as N-BEATS and NHITS.

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