brohrer / parameter_efficiency_leaderboardLinks
The most parameter efficient machine learning models on a few popular benchmarks
☆42Updated 3 years ago
Alternatives and similar repositories for parameter_efficiency_leaderboard
Users that are interested in parameter_efficiency_leaderboard are comparing it to the libraries listed below
Sorting:
- An alternative to convolution in neural networks☆258Updated last year
- 👩 Pytorch and Jax code for the Madam optimiser.☆53Updated 4 years ago
- Official code for the Stochastic Polyak step-size optimizer☆139Updated last year
- ☆37Updated 3 years ago
- Cyclemoid implementation for PyTorch☆90Updated 3 years ago
- Pretrained TorchVision models on CIFAR10 dataset (with weights)☆24Updated 5 years ago
- Check if you have training samples in your test set☆64Updated 3 years ago
- A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.☆72Updated 3 years ago
- Functional deep learning☆108Updated 2 years ago
- A case study of efficient training of large language models using commodity hardware.☆68Updated 3 years ago
- Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'☆39Updated 3 years ago
- Adaptation of discriminative learning rates from the Fastai library for standard PyTorch.☆18Updated 6 years ago
- Code for the CVPR 2019 paper : Spectral Metric for Dataset Complexity Assessment☆45Updated last year
- Code for scaling Transformers☆26Updated 4 years ago
- GAN models implemented with Pytorch Lightning and Hydra configuration☆33Updated 3 years ago
- My implementation of DeepMind's Perceiver☆63Updated 4 years ago
- Implements MLP-Mixer (https://arxiv.org/abs/2105.01601) with the CIFAR-10 dataset.☆59Updated 3 years ago
- This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"☆184Updated 4 years ago
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆180Updated 6 months ago
- Python Research Framework☆106Updated 3 years ago
- Framework-agnostic library for checking array/tensor shapes at runtime.☆46Updated 4 years ago
- Simple and efficient RevNet-Library for PyTorch with XLA and DeepSpeed support and parameter offload☆131Updated 3 years ago
- A generative modelling toolkit for PyTorch.☆70Updated 4 years ago
- Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.☆61Updated 4 years ago
- ☆42Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆108Updated last year
- Large dataset storage format for Pytorch☆45Updated 4 years ago
- Differentiable Algorithms and Algorithmic Supervision.☆116Updated 2 years ago
- An open source implementation of CLIP.☆33Updated 3 years ago
- Tensorflow 2.0 implementation of Fourier Feature Mapping Networks.☆44Updated 5 years ago