kach / gradient-descent-the-ultimate-optimizerLinks
Code for our NeurIPS 2022 paper
☆369Updated 2 years ago
Alternatives and similar repositories for gradient-descent-the-ultimate-optimizer
Users that are interested in gradient-descent-the-ultimate-optimizer are comparing it to the libraries listed below
Sorting:
- Named tensors with first-class dimensions for PyTorch☆332Updated 2 years ago
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆482Updated 3 years ago
- A library to inspect and extract intermediate layers of PyTorch models.☆473Updated 3 years ago
- ☆785Updated last month
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆309Updated 3 months ago
- Constrained optimization toolkit for PyTorch☆698Updated 2 months ago
- Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions☆258Updated last year
- Laplace approximations for Deep Learning.☆517Updated 5 months ago
- BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.☆593Updated 9 months ago
- Implementation of https://srush.github.io/annotated-s4☆501Updated 3 months ago
- MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvement…☆399Updated this week
- Unofficial JAX implementations of deep learning research papers☆156Updated 3 years ago
- Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch☆252Updated 3 years ago
- Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization☆343Updated last year
- D-Adaptation for SGD, Adam and AdaGrad☆525Updated 8 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- ASDL: Automatic Second-order Differentiation Library for PyTorch☆190Updated 10 months ago
- Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow☆205Updated last year
- Fast, differentiable sorting and ranking in PyTorch☆834Updated 3 months ago
- Compositional Linear Algebra☆492Updated 2 months ago
- Helps you write algorithms in PyTorch that adapt to the available (CUDA) memory☆438Updated last year
- Tensors, for human consumption☆1,292Updated last week
- functorch is JAX-like composable function transforms for PyTorch.☆1,436Updated last month
- TorchOpt is an efficient library for differentiable optimization built upon PyTorch.☆616Updated last month
- An alternative to convolution in neural networks☆257Updated last year
- Library for Jacobian descent with PyTorch. It enables the optimization of neural networks with multiple losses (e.g. multi-task learning)…☆271Updated this week
- Code release for "Git Re-Basin: Merging Models modulo Permutation Symmetries"☆490Updated 2 years ago
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆142Updated 3 months ago
- A PyTorch implementation of Perceiver, Perceiver IO and Perceiver AR with PyTorch Lightning scripts for distributed training☆490Updated last year
- Gaussian-Bernoulli Restricted Boltzmann Machines☆106Updated 2 years ago