Pinned
*Alice's book got a (minor) upgrade!*
Thanks to the dozens of people who gave feedback, now with 1000% less typos and errors, a novel set of Colab lab sessions, and a brand-new CC-BY-SA license. 🙃
sscardapane.it/alice-book/
Simone Scardapane
1,880 posts
Simone Scardapane
@s_scardapane
I fall in love with a new #machinelearning topic every month 🙄 |
Researcher @SapienzaRoma | Author: Alice in a diff wonderland sscardapane.it/alice-book
- *Alice goes to a differentiable wonderland!* 🔥 I published a short free book on the design of neural networks, from convolutions to transformers, SSMs, and a few other topics. As a bonus, I tried to make it looking nice - any feedback is appreciated! sscardapane.it/alice-book
- Because I got asked by so many people, I have open-sourced all videos for my Reproducible Deep Learning course! 🥳 ~ 16 hours to combine with 13 code branches and quite a lot of slides. Videos are far from polished but I hope you enjoy them. 🙃 All here: sscardapane.it/teaching/repro…
- Gather round, Twitter folks, it's time for our beloved **Alice's adventures in a differentiable wonderland**, our magical tour of autodiff and backpropagation. 🔥 Slides below 1/n 👇
- *Alice is out of draft jail!* 🥳 Thanks to all the feedback, v2 of "Alice in a differentiable wonderland" has practical exercises, a revamped graphic, and new content -- all freely available on arXiv and coming soon on Amazon in print. 🥰 sscardapane.it/alice-book
- I have an upcoming PhD course on automatic differentiation and it turns out I am a one-trick pony. 🙃
- *Into the land of automatic differentiation* Material is out! A short PhD course for the CS PhD in @SapienzaRoma covering basic and advanced topics in autodiff w/ slides, (rough) Notion notes, and two notebooks including a PyTorch-like implementation. 😅 sscardapane.it/teaching/phd-a…
- If you are interested in graph neural networks, I made a quick Colab tutorial on performing graph classification with #PyTorch Geometric & @PyTorchLightnin, and then explaining the predictions with GNNExplainer and/or Captum. colab.research.google.com/drive/14GPEIR7…
- *Alice's Adventures in a Differentiable Wonderland* Twitter friends, for a few days the powers that be were boycotting Alice, but now she is back on all Amazon stores! Keep sending me your pictures & your feedbacks on the book. 🔥 All links here: sscardapane.it/alice-book/
- *Audio Classification with Vision Transformers* A new tutorial for Christmas, directly from my course! 🧑🎄 A ViT audio classifier exploiting @huggingface librosa einops @TensorFlow @wandb. Fun to code transformers from (almost) scratch. 😎 colab.research.google.com/drive/1mnArj9S…
- *Generative Flow Networks* A new method to sample structured objects (eg, graphs, sets) with a formulation inspired to the state space of reinforcement learning. I have collected a few key ideas and pointers below if you are interested. 👀 1/n 👇
- *Diffusion Models are Evolutionary Algorithms* by @YanboZhang3 @drmichaellevin et al. They develop novel evolutionary algorithms based on an analogy between mutation / natural selection and the forward / reverse processes in diffusion models. arxiv.org/abs/2410.02543
