Paras Jain
@parasjain.bsky.social
Research Engineer at ION Group, prev student acalonia_x , cognitive science & ML research @ INMAS, machine learning buff, he/him
Reposted by Paras Jain
For the theoretical side, there’s no better resource than the 2024 book by Blondel and Roulet:
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...
The Elements of Differentiable Programming
Artificial intelligence has recently experienced remarkable advances, fueled by large models, vast datasets, accelerated hardware, and, last but not least, the transformative power of differentiable p...
arxiv.org
November 26, 2024 at 6:05 AM
For the theoretical side, there’s no better resource than the 2024 book by Blondel and Roulet:
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...
arxiv.org/abs/2403.14606
For the practical side, my friend @willtebbutt.bsky.social wrote stellar documentation explaining autodiff with mutation:
compintell.github.io/Mooncake.jl/...