graphcore / tutorialsLinks
Training material for IPU users: tutorials, feature examples, simple applications
☆87Updated 2 years ago
Alternatives and similar repositories for tutorials
Users that are interested in tutorials are comparing it to the libraries listed below
Sorting:
- Example code and applications for machine learning on Graphcore IPUs☆330Updated last year
- PyTorch interface for the IPU☆181Updated last year
- Research and development for optimizing transformers☆129Updated 4 years ago
- Torch Distributed Experimental☆117Updated last year
- Reference models for Intel(R) Gaudi(R) AI Accelerator☆167Updated last week
- benchmarking some transformer deployments☆26Updated 2 years ago
- Distributed preprocessing and data loading for language datasets☆39Updated last year
- Memory Optimizations for Deep Learning (ICML 2023)☆107Updated last year
- Block-sparse primitives for PyTorch☆160Updated 4 years ago
- ☆111Updated last year
- ☆159Updated 2 years ago
- ☆125Updated last year
- A Python library transfers PyTorch tensors between CPU and NVMe☆121Updated 9 months ago
- Blazing fast training of 🤗 Transformers on Graphcore IPUs☆86Updated last year
- Fast sparse deep learning on CPUs☆56Updated 2 years ago
- TensorFlow for the IPU☆79Updated last year
- A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…☆161Updated 2 months ago
- Training neural networks in TensorFlow 2.0 with 5x less memory☆134Updated 3 years ago
- ☆74Updated 5 months ago
- ☆41Updated last year
- Implementation of a Transformer, but completely in Triton☆274Updated 3 years ago
- This repository contains the results and code for the MLPerf™ Training v0.7 benchmark.☆57Updated 2 years ago
- 🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.☆211Updated this week
- oneCCL Bindings for Pytorch*☆102Updated last month
- ☆28Updated 8 months ago
- ☆252Updated last year
- PyTorch RFCs (experimental)☆135Updated 3 months ago
- This is a Tensor Train based compression library to compress sparse embedding tables used in large-scale machine learning models such as …☆194Updated 3 years ago
- Sparsity support for PyTorch☆37Updated 5 months ago
- Poplar libraries☆121Updated last year