Today we're announcing fastchan, a new conda mini-distribution with a focus on the PyTorch ecosystem. Using fastchan, installation and updates of libraries such as @PyTorch, @huggingface and @RAPIDSai is faster, easier, and more reliable…
We describe fastchan as a "mini-distribution" since it's designed to work together with @anacondainc, rather than standalone. As well as GPU libraries, it includes useful packages like headless @opencvlibrary and @wightmanr's timm image models.
For a deep dive into how fastchan helps you manage your Python library, have a look at this fantastic blog post by @amaarora…
Note that fastchan is not a replacement for @condaforge, but actually leverages conda-forge heavily and wouldn't be possible without it.
Big thanks to @Chrisbilbo for his excellent conda-setuptools, which is used by fastchan, and to @HamelHusain for all his help

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More from @jeremyphoward

14 Jul
For 20 years I used a wide variety of machine learning and optimization algorithms to tackle predictive modeling challenges.

Nowadays, #deeplearning is part of nearly everything I do. In this @MelbCtrDataSci talk, I explain why I made this my focus.
Early on, I mainly just used GLMs with lots of feature engineering for predictive modeling. Just like Andy Beck and team did when they developed Cpath, the computational pathologist
Once I discovered the magic of restricted cubic splines, they became my main tool for handling continuous independent variables
Read 12 tweets
26 May
Here's something really help from @amaarora - a thorough walk-thru of my recent talk "20 Years of Tech Startup Experiences in One Hour".

It's a great way to get the key messages of the talk, without watching the whole thing.…
My full talk is available here:
This approach, of writing up a talk that you like and posting it publicly, is great for everyone:
- The speaker gets a sharable text version of their talk
- The writer gets the appreciation of the speaker and the audience
- People can save time by reading instead of listening
Read 7 tweets
26 May
I've just uploaded a new "lesson 0" for Practical Deep Learning for Coders, which is an optional lesson of tips for how to get the most out of the course
The lesson contains a lot of insights from the new book from @radekosmulski, "Meta Learning", which describes his successful journey from non-coder to Kaggle winner and full-time deep learning scientist…
It finishes with a complete walk-thru showing how to set up a Linux GPU server from scratch on @awscloud EC2. For details on the course, and setup on many different cloud environments, see:
Read 4 tweets
4 Feb
I’m hearing comments that Grid AI (Lightning) seem to have copied fastai's API without credit, and claimed to have invented it.

We wrote a paper about our design; it's great it's inspiring others.

Claiming credit for other's work? NOT great 1/…
PyTorch Lightning is a new deep learning library, released in mid-2019. The same team launched "Flash", a higher level library, this week.

fastai was launched in 2017, based on extensive research.

As you can see, they look *very* similar.
The quote below is from the Flash launch post (h/t @tomcocobrico). It is very clearly not true.

fastai's focus has always been simple inference, fine-tuning, and customization of state of the art models on new data in a matter of minutes.

Read 20 tweets
11 Jan
Our paper, "An evidence review of face masks against COVID-19", written by a cross-disciplinary team of 19 international experts, was published in the Proceedings of the National Academy of Sciences today.

No time for the paper? Then read this thread!…
The paper, which includes 141 references (yes, I read every one of them!) argues that we should increase focus on a previously overlooked aspect of mask usage: mask wearing by infectious people ("source control"), rather than only mask wearing by susceptible people ("PPE") Image
Masks have been used to help control respiratory pandemics for at least 600 years. Wu Lien-Teh (the "Plague Fighter") showed the world the importance of masks nearly 100 years ago, doing detailed studies over many years.

Sadly, his work became largely forgotten in the west Image
Read 11 tweets
6 Jan
IIUC this "new technique" from Facebook is actually just a slight repackaging of bits of @wightmanr's brilliant timm library.

Great they wrote a paper that documented how well it works, but they should at *minimum* have cited timm, and really should have made him senior author
I've read thru their code, and it's basically calling out to timm (which is based on years of research from @wightmanr), along with a standard Pytorch training loop and data munging.…
There are clearly some pretty deeply rooted issues surfaced here regarding how @facebookai works with the open source community.

Hopefully this turns out to be a productive learning experience.
Read 6 tweets

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