Differentiable Programming: Lisp deep learning by hylang
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Updated
Jan 16, 2018
Differentiable Programming: Lisp deep learning by hylang
Repository for the paper Operational Calculus for Differentiable Programming
Hitchhiker's Guide to Deep Learning for Computational Scientists
L1: Tensor Studio — The playground for tensors
Differentiable Tensor Renormalization Group for square Ising
variationally solve hydrogen atom with autograd
Differentiable Duckietown
Experimental tensor-typed deep learning
A reproduction and tweaking of Growing Neural Cellular Automata
Using DiffEqFlux to learn underlying differential equations from data.
Differentiable Functional Language
🚃 Automated task/test framework for writing differentiable software.
A GPU-accelerated differentiable fluid simulator written in JAX.
Automatic differentiation engine for neural network training (backprop under development).
Differentiable interface to Firedrake for JAX
A fast and highly accurate differentiable Top-k operator from the "Successive Halving Top-k Operator" AAAI'21 paper.
Mirror of bitbucket infergo-studies repository
[ICLR 2021] "Generating Adversarial Computer Programs using Optimized Obfuscations" by Shashank Srikant, Sijia Liu, Tamara Mitrovska, Shiyu Chang, Quanfu Fan, Gaoyuan Zhang, and Una-May O'Reilly
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