graphcore / tensorflowLinks
TensorFlow for the IPU
☆79Updated 4 months ago
Alternatives and similar repositories for tensorflow
Users that are interested in tensorflow are comparing it to the libraries listed below
Sorting:
- Poplar libraries☆122Updated 2 years ago
- Example code and applications for machine learning on Graphcore IPUs☆333Updated last year
- PyTorch interface for the IPU☆181Updated 2 years ago
- Graph algorithms for machine learning frameworks☆30Updated 2 years ago
- Python bindings for NVTX☆67Updated 2 years ago
- Issues related to MLPerf™ training policies, including rules and suggested changes☆95Updated this week
- XLA integration of Open Neural Network Exchange (ONNX)☆19Updated 7 years ago
- A Deep Learning Meta-Framework and HPC Benchmarking Library☆82Updated 3 years ago
- ☆422Updated last month
- A tensor-aware point-to-point communication primitive for machine learning☆283Updated last month
- TensorFlow-nGraph bridge☆136Updated 4 years ago
- oneCCL Bindings for Pytorch* (deprecated)☆104Updated last month
- Issues related to MLPerf® Inference policies, including rules and suggested changes☆63Updated this week
- Stores documents and resources used by the OpenXLA developer community☆133Updated last year
- A Fusion Code Generator for NVIDIA GPUs (commonly known as "nvFuser")☆380Updated this week
- oneAPI Collective Communications Library (oneCCL)☆254Updated last week
- [DEPRECATED] Moved to ROCm/rocm-libraries repo☆254Updated last week
- ☆41Updated last year
- Training material for IPU users: tutorials, feature examples, simple applications☆88Updated 2 years ago
- ☆49Updated last year
- A sandbox for quick iteration and experimentation on projects related to IREE, MLIR, and LLVM☆61Updated 10 months ago
- MLIR-based partitioning system☆164Updated last week
- PyTorch RFCs (experimental)☆138Updated 8 months ago
- ParaDnn: A systematic performance analysis methodology for deep learning.☆40Updated 5 years ago
- ☆68Updated 2 years ago
- System for automated integration of deep learning backends.☆47Updated 3 years ago
- TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together☆64Updated 7 years ago
- Samples demonstrating how to use the Compute Sanitizer Tools and Public API☆93Updated 2 years ago
- ☆55Updated 2 months ago
- Benchmarks to capture important workloads.☆32Updated 2 weeks ago