A miniscule implementation of reverse mode auto-differentiation
MIT License
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Make huge neural nets fit in memory
Code accompanying the paper Recurrent Relational Networks for Complex Relational Reasoning https:...
phgrad - Cause there are not enough unusable autograd libraries in python
Software Architecture for ML engineers
Official code repository for Latent Neural Differential Equations for Video Generation.
Efficiently computes derivatives of NumPy code.
The simplest pytorch implement (100 lines) of "Neural Ordinary Differential Equations" @ NeurIPS ...
Lifelong Variational Autoencoder
Experiment of using Tangent to autodiff triton
Baby deep learning library🐣
Code to accompany the paper "AMP-Inspired Deep Networks for Sparse Linear Inverse Problems"
The source code the for the ICLR'24 paper "Stabilizing Backpropagation Through Time to Learn Comp...
implement minimal pytorch from scratch