zoq / Awesome-OptimizerLinks
Collect optimizer related papers, data, repositories
☆97Updated 9 months ago
Alternatives and similar repositories for Awesome-Optimizer
Users that are interested in Awesome-Optimizer are comparing it to the libraries listed below
Sorting:
- Implementation of "Gradients without backpropagation" paper (https://arxiv.org/abs/2202.08587) using functorch☆111Updated 2 years ago
- Distributed K-FAC preconditioner for PyTorch☆89Updated last week
- TensorLy-Torch: Deep Tensor Learning with TensorLy and PyTorch☆80Updated last year
- DoG is SGD's Best Friend: A Parameter-Free Dynamic Step Size Schedule☆63Updated 2 years ago
- Neural Tangent Kernel Papers☆115Updated 7 months ago
- ☆142Updated 2 months ago
- ☆70Updated 8 months ago
- Create animations for the optimization trajectory of neural nets☆158Updated last year
- Official implementation of Stochastic Taylor Derivative Estimator (STDE) NeurIPS2024☆117Updated 9 months ago
- Omnigrok: Grokking Beyond Algorithmic Data☆61Updated 2 years ago
- ☆207Updated 8 months ago
- Code for papers Linear Algebra with Transformers (TMLR) and What is my Math Transformer Doing? (AI for Maths Workshop, Neurips 2022)☆75Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆108Updated last year
- Repo for the paper "Landscape Surrogate Learning Decision Losses for Mathematical Optimization Under Partial Information"☆36Updated 2 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- A curated list of papers of interesting empirical study and insight on deep learning. Continually updating...☆358Updated last month
- ☆233Updated 6 months ago
- optimizer & lr scheduler & loss function collections in PyTorch☆344Updated last week
- 😎 A curated list of tensor decomposition resources for model compression.☆79Updated last week
- Pytorch code for experiments on Linear Transformers☆21Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆137Updated 2 months ago
- Lightning-like training API for JAX with Flax☆42Updated 8 months ago
- Agustinus' very opiniated publication-ready plotting library☆69Updated 3 months ago
- ☆37Updated 2 weeks ago
- Mutual information estimators and benchmark☆51Updated 7 months ago
- Official PyTorch implementation of NeuralSVD (ICML 2024)☆20Updated 11 months ago
- [ICLR'24] "DeepZero: Scaling up Zeroth-Order Optimization for Deep Model Training" by Aochuan Chen*, Yimeng Zhang*, Jinghan Jia, James Di…☆66Updated 10 months ago
- A State-Space Model with Rational Transfer Function Representation.☆79Updated last year
- Pytorch implementation of preconditioned stochastic gradient descent (Kron and affine preconditioner, low-rank approximation precondition…☆179Updated this week
- summer school materials☆44Updated 2 years ago