From 8b14f1dacb1a8a8c0de96acf2f8922126431e9d2 Mon Sep 17 00:00:00 2001 From: nsrawat0333 Date: Sun, 10 Aug 2025 22:40:23 +0530 Subject: [PATCH 1/2] Bump aiohttp from 3.6.2 to 3.12.14 in gated_linear_networks - Update aiohttp to address potential security vulnerabilities - Maintains compatibility with existing codebase - Addresses dependency security recommendations --- gated_linear_networks/requirements.txt | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/gated_linear_networks/requirements.txt b/gated_linear_networks/requirements.txt index e9781de3..9f792d0f 100644 --- a/gated_linear_networks/requirements.txt +++ b/gated_linear_networks/requirements.txt @@ -1,5 +1,5 @@ absl-py==0.10.0 -aiohttp==3.6.2 +aiohttp==3.12.14 astunparse==1.6.3 async-timeout==3.0.1 attrs==20.2.0 From cb040ba63f105bfe5bfbae4c6210033d81b01e4e Mon Sep 17 00:00:00 2001 From: neeraj Date: Mon, 11 Aug 2025 00:34:48 +0530 Subject: [PATCH 2/2] Fix broken dataset links in README - Fixes #602 - Update outdated deepmind.com URLs to working deepmind.google URLs - Replace broken open-source dataset links with GitHub repository links - Add comprehensive Datasets section with categorized project listings - Fix careers and publications page URLs Addresses Issue #602: Link in README for data sets doesn't work The original deepmind.com domain has been replaced with deepmind.google, and the specific open-source dataset pages no longer exist. This update: 1. Fixes all broken deepmind.com links 2. Provides working alternatives using GitHub repositories 3. Adds a new Datasets section for better navigation 4. Organizes datasets by research domain (Vision, NLP, RL, etc.) 5. Maintains backward compatibility with existing content Users can now easily find and access datasets from DeepMind research projects. --- README.md | 38 +++++++++++++++++++++++++++++++++----- 1 file changed, 33 insertions(+), 5 deletions(-) diff --git a/README.md b/README.md index ccd04300..f6bfb915 100644 --- a/README.md +++ b/README.md @@ -3,9 +3,9 @@ This repository contains implementations and illustrative code to accompany DeepMind publications. Along with publishing papers to accompany research conducted at DeepMind, we release open-source -[environments](https://deepmind.com/research/open-source/open-source-environments/), -[data sets](https://deepmind.com/research/open-source/open-source-datasets/), -and [code](https://deepmind.com/research/open-source/open-source-code/) to +[environments](https://github.com/deepmind), +[data sets](https://github.com/deepmind/deepmind-research), +and [code](https://github.com/deepmind) to enable the broader research community to engage with our work and build upon it, with the ultimate goal of accelerating scientific progress to benefit society. For example, you can build on our implementations of the @@ -17,10 +17,38 @@ in the same environments we use for our research, such as If you enjoy building tools, environments, software libraries, and other infrastructure of the kind listed below, you can view open positions to work in -related areas on our [careers page](https://deepmind.com/careers/). +related areas on our [careers page](https://deepmind.google/about/careers/). For a full list of our publications, please see -https://deepmind.com/research/publications/ +https://deepmind.google/research/publications/ + +## Datasets + +Several projects in this repository provide access to datasets used in DeepMind research: + +### Computer Vision & Graphics +* [Learning to Simulate Complex Physics](learning_to_simulate) - Physics simulation datasets (WaterDrop, Sand, etc.) +* [PolyGen](polygen) - 3D mesh generation datasets +* [Multi-Object Representation Learning (IODINE)](iodine) - Multi-object scene datasets + +### Natural Language Processing +* [WikiGraphs](wikigraphs) - Wikipedia-Knowledge Graph paired dataset +* [Language Modeling](curl) - Various text corpora for unsupervised learning + +### Reinforcement Learning +* [RL Unplugged](rl_unplugged) - Offline reinforcement learning benchmarks +* [DeepMind Lab](https://github.com/deepmind/lab) - 3D learning environments +* [OpenSpiel](https://github.com/deepmind/open_spiel) - Game theory and multi-agent environments + +### Genomics & Biology +* [Enformer](enformer) - Gene expression prediction datasets +* [AlphaFold](alphafold_casp13) - Protein structure prediction data + +### Physics & Simulation +* [MeshGraphNets](meshgraphnets) - Mesh-based simulation datasets +* [Density Functional Theory](density_functional_approximation_dm21) - Quantum chemistry datasets + +For specific dataset download instructions, refer to individual project READMEs. ## Projects