deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications (by google-deepmind)
alphafold_pytorch
An implementation of the DeepMind's AlphaFold based on PyTorch for research (by Urinx)
| deepmind-research | alphafold_pytorch | |
|---|---|---|
| 29 | 1 | |
| 12,817 | 380 | |
| 0.7% | - | |
| 0.6 | 10.0 | |
| 1 day ago | over 3 years ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
deepmind-research
Posts with mentions or reviews of deepmind-research.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2023-02-03.
- This A.I. Subculture's Motto: Go, Go, Go. The eccentric pro-tech movement known as "Effective Accelerationism" wants to unshackle powerful A.I., and party along the way.
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How worried are you about AI taking over music?
Deepmind 63
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Are there Notebooks of AlphaFold 1?
Found some here and here.
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Trying to port this non-standard Tensorflow model to Pytorch and not sure if I'm missing anything
I am trying to make a physics-simulation model based on DeepMind's research, with its source code found here https://github.com/deepmind/deepmind-research/tree/master/learning_to_simulate . The thing that mainly confuses me is how to properly implement the embedding situation found at https://github.com/deepmind/deepmind-research/blob/master/learning_to_simulate/learned_simulator.py on lines 78 and 152.
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[D] Is it possible to use machine learning to create 3D images for the purpose of 3D printing?
Yes. There's a fair bit of research into using ML to generate 3D models. Early work, like Neural Radiance Fields (NeRF) generated a voxel model, which could be used for 3D printing, but it would be low resolution, like blowing up a tiny image vs an SVG vector file. However, more recent research can generate polygonal models from a video taken of a real object. Polygonal models are much better for 3D printing.
- DeepMind Research – code to accompany DeepMind publications
- Skilful precipitation nowcasting using deep generative models of radar - Dr. Piotr Mirowski - Zoom
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[R] Skilful precipitation nowcasting using deep generative models of radar - Link to a free online lecture by the author in comments (deepmind research published in nature)
Skilful precipitation nowcasting using deep generative models of radar https://www.nature.com/articles/s41586-021-03854-z https://deepmind.com/blog/article/nowcasting https://github.com/deepmind/deepmind-research/tree/master/nowcasting
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Deepmind Open-Sources DM21: A Deep Learning Model For Quantum Chemistry
Github: https://github.com/deepmind/deepmind-research/tree/master/density_functional_approximation_dm21
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[P] Choosing a self-supervised learning framework that's easy to use
BYOL - again, it seems that it's not optimized for running on multiple GPUs.
alphafold_pytorch
Posts with mentions or reviews of alphafold_pytorch.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-08-13.
-
Are there Notebooks of AlphaFold 1?
Found some here and here.
What are some alternatives?
When comparing deepmind-research and alphafold_pytorch you can also consider the following projects:
jaxline
dm-haiku - JAX-based neural network library
RETRO-pytorch - Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
flax - Flax is a neural network library for JAX that is designed for flexibility.
swav - PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
TorchPQ - Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda
sam
fastText - Library for fast text representation and classification.