opooladz / Preconditioned-Stochastic-Gradient-DescentLinks
A repo based on XiLin Li's PSGD repo that extends some of the experiments.
☆14Updated last year
Alternatives and similar repositories for Preconditioned-Stochastic-Gradient-Descent
Users that are interested in Preconditioned-Stochastic-Gradient-Descent are comparing it to the libraries listed below
Sorting:
- ☆67Updated 11 months ago
- A State-Space Model with Rational Transfer Function Representation.☆82Updated last year
- supporting pytorch FSDP for optimizers☆83Updated 10 months ago
- ☆58Updated last year
- Implementation of GateLoop Transformer in Pytorch and Jax☆90Updated last year
- Maximal Update Parametrization (μP) with Flax & Optax.☆16Updated last year
- Supporting code for the blog post on modular manifolds.☆86Updated 3 weeks ago
- ☆17Updated last year
- ☆19Updated 5 months ago
- ☆218Updated 10 months ago
- Tiled Flash Linear Attention library for fast and efficient mLSTM Kernels.☆73Updated 2 weeks ago
- ☆34Updated last year
- ☆34Updated last year
- Explorations into the proposal from the paper "Grokfast, Accelerated Grokking by Amplifying Slow Gradients"☆102Updated 10 months ago
- Scalable and Stable Parallelization of Nonlinear RNNS☆23Updated this week
- FID computation in Jax/Flax.☆28Updated last year
- The Gaussian Histogram Loss (HL-Gauss) proposed by Imani et al. with a few convenient wrappers for regression, in Pytorch☆66Updated 2 months ago
- ☆120Updated 4 months ago
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆188Updated last week
- Automatically take good care of your preemptible TPUs☆37Updated 2 years ago
- Implementation of Diffusion Transformers and Rectified Flow in Jax☆26Updated last year
- ☆32Updated last year
- Codes accompanying the paper "LaProp: a Better Way to Combine Momentum with Adaptive Gradient"☆29Updated 5 years ago
- JAX Implementation of Black Forest Labs' Flux.1 family of models☆39Updated last month
- Unofficial but Efficient Implementation of "Mamba: Linear-Time Sequence Modeling with Selective State Spaces" in JAX☆88Updated last year
- An implementation of PSGD Kron second-order optimizer for PyTorch☆96Updated 3 months ago
- ☆33Updated 11 months ago
- ☆41Updated this week
- Implementation of Gradient Agreement Filtering, from Chaubard et al. of Stanford, but for single machine microbatches, in Pytorch☆25Updated 9 months ago
- Simple implementation of muP, based on Spectral Condition for Feature Learning. The implementation is SGD only, dont use it for Adam☆85Updated last year