huggingface / pytorch_block_sparse
Fast Block Sparse Matrices for Pytorch
☆545Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for pytorch_block_sparse
- Block-sparse primitives for PyTorch☆148Updated 3 years ago
- Library for 8-bit optimizers and quantization routines.☆714Updated 2 years ago
- [Prototype] Tools for the concurrent manipulation of variably sized Tensors.☆253Updated 2 years ago
- End-to-end training of sparse deep neural networks with little-to-no performance loss.☆317Updated last year
- A GPU performance profiling tool for PyTorch models☆495Updated 3 years ago
- PyTorch layer-by-layer model profiler☆608Updated 3 years ago
- Understanding the Difficulty of Training Transformers☆328Updated 2 years ago
- Fast, general, and tested differentiable structured prediction in PyTorch☆1,108Updated 2 years ago
- ☆365Updated last year
- Implementation for the Lookahead Optimizer.☆239Updated 2 years ago
- Prune a model while finetuning or training.☆394Updated 2 years ago
- Experimental ground for optimizing memory of pytorch models☆360Updated 6 years ago
- Implementation of a Transformer, but completely in Triton☆249Updated 2 years ago
- Profiling and inspecting memory in pytorch☆1,020Updated 3 months ago
- PyTorch dataset extended with map, cache etc. (tensorflow.data like)☆328Updated 2 years ago
- Long Range Arena for Benchmarking Efficient Transformers☆729Updated 11 months ago
- Efficient, check-pointed data loading for deep learning with massive data sets.☆205Updated last year
- A repository in preparation for open-sourcing lottery ticket hypothesis code.☆627Updated 2 years ago
- Implementation of https://arxiv.org/abs/1904.00962☆369Updated 3 years ago
- Library for faster pinned CPU <-> GPU transfer in Pytorch☆683Updated 4 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆296Updated 3 years ago
- Sparse learning library and sparse momentum resources.☆379Updated 2 years ago
- FastFormers - highly efficient transformer models for NLU☆701Updated 10 months ago
- functorch is JAX-like composable function transforms for PyTorch.☆1,396Updated this week
- PyTorch implementation of L2L execution algorithm☆106Updated last year
- Sinkhorn Transformer - Practical implementation of Sparse Sinkhorn Attention☆253Updated 3 years ago
- Flexible components pairing 🤗 Transformers with Pytorch Lightning☆611Updated last year
- Cockpit: A Practical Debugging Tool for Training Deep Neural Networks☆473Updated 2 years ago
- Fully featured implementation of Routing Transformer☆284Updated 3 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆569Updated 2 years ago