Distributed AI solutions in IoT ecosystems
Mechelen, Belgium
Joined March 2015
- Tweets17
- Following64
- Followers20
- Likes108
Atomic BITS retweeted
#PyTorch goes to the Linux Foundation. This is massive for open source software! 👌🔥🎉
“As of August 2022, PyTorch was one of the five-fastest growing open source software communities in the world alongside the Linux kernel and Kubernetes.” linuxfoundation.org/blog/wel…
Atomic BITS retweeted
Just in time for a new fastai course, timm is now supported in fast.ai! With that, timmdocs have been moved to a new home at timm.fast.ai/. Thanks for adding timm @jeremyphoward ... It looks like @iScienceLuvr lent a hand, tx.
Atomic BITS retweeted
We built & open sourced the first-ever multilingual model to win the prestigious WMT competition, showing this approach is the future of machine translation. One-model-for-many-languages is simpler, more scalable, and can help deliver better translations. ai.facebook.com/blog/the-fir…
Atomic BITS retweeted
🤗 Transformers v4.12.0 is out, with some great additions in 👀Vision & 💬Speech!
- 🔠TrOCR: end-to-end optical character recognition model!
- 💫SEW & SEW-D: compute and memory-efficient Wav2Vec2 model!
Check out @NielsRogge's space showcasing TrOCR: huggingface.co/spaces/nielsr…
Atomic BITS retweeted
Annotated PyTorch Paper Implementations by @labmlai is an AMAZING resource:
• Deep learning papers explained in-depth with code side-by-side
• Constantly updated with some of the latest papers!
• 100% free and open-source!
Check it out here → nn.labml.ai
Atomic BITS retweeted
*MLP-Mixer: An all-MLP Architecture for Vision*
It's all over Twitter!
A new, cool architecture that mixes several ideas from MLPs, CNNs, ViTs, trying to keep it as simple as possible.
Small thread below. 👇 /n
Atomic BITS retweeted
We're only one week away from the first-ever virtual PyTorch Ecosystem Day #PTED21! Join us on April 21 at 8AM PT.
See the full agenda and RSVP here: pytorchecosystemday.fbreg.co…
Atomic BITS retweeted
The second episode (of five) of the energy 🔋 saga is out! 🤩
We learn about the relaxed free energy (marginalisation computed through the actual-softmax) and how to train (un)conditional Latent Variable (LV) Energy Based Models (EBMs).
youtu.be/XIMaWj5YjOQ
Atomic BITS retweeted
TorchVision v0.9 has been released and is packed with many #ML models and features, speed improvements and bug fixes. Check out the overview of the new models here: pytorch.org/blog/ml-models-t…
Atomic BITS retweeted
📈 Top trending ML papers of March 2021
In this week's newsletter: top trending papers, state-of-the-art speech recognition, revisiting neural probabilistic language models, progress on efficient vision models, and much more.
Read on below:
paperswithcode.com/newslette…
Atomic BITS retweeted
We're releasing Flashlight: A modern, open source machine learning library written entirely in C++. It's customizable to the core to support your research's needs — and it's pretty fast too. ai.facebook.com/blog/flashli…
Atomic BITS retweeted
A new video dataset from @facebookai designed to evaluate the fairness of computer vision and audio systems
As part of our ongoing efforts to help surface fairness issues in #AI systems, we’ve open sourced a new data set of 45,186 videos to help evaluate fairness in #computervision and audio models across age, gender, apparent skin tone, & ambient lighting. ai.facebook.com/blog/sheddin…
Atomic BITS retweeted
We are launching a *new track* at #NeurIPS2021, for #datasets & #benchmarks. We hope that this new track will lead to a substantial increase in high-quality #machinelearning datasets and benchmarks, and give authors proper credit for their work! @syeung10 neuripsconf.medium.com/annou…
Atomic BITS retweeted
Check out two ways of improving the diversity of training data for #MachineLearning models in health applications: a configurable method for synthetic skin lesion images of rare skin types and conditions, and synthetic images of defocused tissue samples. goo.gle/39LhwAm
Atomic BITS retweeted
Nice collection of PyTorch (and some TF) Jupyter notebooks for everything deep learning by Sabastian Raschka.
github.com/rasbt/deeplearnin… github.com/rasbt/deeplearnin…
