deepmind-research
linux
deepmind-research | linux | |
---|---|---|
29 | 981 | |
12,817 | 170,551 | |
0.8% | - | |
0.6 | 10.0 | |
2 days ago | 6 days ago | |
Jupyter Notebook | C | |
Apache License 2.0 | GNU General Public License v3.0 or later |
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
- 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.
-
How worried are you about AI taking over music?
Deepmind 63
-
Are there Notebooks of AlphaFold 1?
Found some here and here.
-
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.
-
[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
-
[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
-
Deepmind Open-Sources DM21: A Deep Learning Model For Quantum Chemistry
Github: https://github.com/deepmind/deepmind-research/tree/master/density_functional_approximation_dm21
-
[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.
linux
-
The File Filesystem
FFS predates FreeBSD and is in some capacity supported by all 3 major BSDs. I'm fairly confident that Linux actually supports it through the ufs driver ( https://github.com/torvalds/linux/tree/master/fs/ufs ); whether the use of different names in different places makes it better or worse is an exercise for the reader.
-
Linus Torvalds adds arbitrary tabs to kernel code
These are a bit easier to see what's going on:
https://github.com/torvalds/linux/commit/d5cf50dafc9dd5faa1e...
https://github.com/torvalds/linux/blob/d5cf50dafc9dd5faa1e61...
Unfortunately Github doesn't have a way to render symbols for whitespace, but you can tell by selecting the spaces that the previous version had leading tabs. Linus changed it so that the tokens `default` and the number e.g. `12` are also separated by a tab. This is tricky, because the token "default" is seven characters, it will always give this added tab a width of 1 char which makes it always layout the same as if it were a space no matter if you use tab widths of 1, 2, 4, or 8.
- Show HN: Running TempleOS in user space without virtualization
-
PfSense Software Embraces Change: A Strategic Migration to the Linux Kernel
There was also a Gentoo effort to run atop FreeBSD[0]. The challenge of course is that afaik none of the BSD kernel ABIs are considered stable. The stable interface is the BSD libc. That said, with binfmt_misc, I don't see a reason you couldn't just run (at least some) FreeBSD binaries on Linux with a thin syscall translation layer (rather something like qemu-system) and then your layer hooked via binfmt_misc. I'm not aware of anyone who has done this for FreeBSD, but prior efforts existed as alternate binfmts for SysVr4/5 ELF binaries[2]. Either way would take some elbow grease, but you *might* even be able just reuse binfmt_elf and just have a new interpreter for FreeBSD elf.
[0] https://wiki.gentoo.org/wiki/Gentoo_FreeBSD
[1] https://docs.kernel.org/admin-guide/binfmt-misc.html
[2] https://github.com/torvalds/linux/blob/master/fs/binfmt_elf....
-
Improvements to static analysis in GCC 14
> The original less-than check was deemed incorrect
It was only deemed incorrect because of an information leak. Not because it's a valid use-case for user space to copy smaller portions of *hwrpb into user space. https://github.com/torvalds/linux/commit/21c5977a836e399fc71...
- Linus Torvalds accepts a merge commit to the Linux kernel
-
TinyMCE (also) moving from MIT to GPL
Correct. And the combined work needs to carry the MIT license text and copyright attributions for the MIT software authors. With binary distribution it must also be overt, not hidden in some source code drop, but directly accompanying the binary.
Many people who talk about relicensing never credit the MIT developers or distribute the MIT license text. "Because it's GPL now."
I don't think that you believe that, but many developers do.
Some don't see the need for source code scans for Open Source compliance, because the license.txt says GPL, so it's GPL. Prime example is the Linux kernel. There is code under different licenses in there, but people don't even read https://github.com/torvalds/linux/blob/master/COPYING till the end ("In addition, other licenses may also apply.") and conclude it's simply GPL 2 and nothing else.
Also be aware that sublicensing is not the same as relicensing.
-
Linus Torvalds is looking for a more modern GUI editor
> Does he have something against it?
He notoriously hates GNU Emacs, yes.
https://marc.info/?m=122955159617722
https://github.com/torvalds/linux/blob/master/Documentation/...
-
The Linux Kernel Prepares for Rust 1.77 Upgrade
So If we would only count code and not comments, it is only 9489 LoC Rust. Which would be about 0.03% and if we take all lines and not only LoC it would be around 0.05%
[0] https://github.com/XAMPPRocky/tokei
[1] https://github.com/torvalds/linux/commit/b401b621758e46812da...
-
Proposed Windows NT sync driver brings big Wine/Proton performance improvements
AIUI fsync is built on futex_waitv which has been upstreamed. So this has to be more than that.
https://github.com/torvalds/linux/commit/a0eb2da92b715d0c97b...
What are some alternatives?
jaxline
zen-kernel - Zen Patched Kernel Sources
dm-haiku - JAX-based neural network library
DS4Windows - Like those other ds4tools, but sexier
RETRO-pytorch - Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
winapps - Run Windows apps such as Microsoft Office/Adobe in Linux (Ubuntu/Fedora) and GNOME/KDE as if they were a part of the native OS, including Nautilus integration.
flax - Flax is a neural network library for JAX that is designed for flexibility.
Open and cheap DIY IP-KVM based on Raspberry Pi - Open and inexpensive DIY IP-KVM based on Raspberry Pi
alphafold_pytorch - An implementation of the DeepMind's AlphaFold based on PyTorch for research
serenity - The Serenity Operating System 🐞
swav - PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882
DsHidMini - Virtual HID Mini-user-mode-driver for Sony DualShock 3 Controllers