BaguaSys / baguaLinks
Bagua Speeds up PyTorch
☆884Updated last year
Alternatives and similar repositories for bagua
Users that are interested in bagua are comparing it to the libraries listed below
Sorting:
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆408Updated 2 months ago
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,057Updated last year
- A CPU+GPU Profiling library that provides access to timeline traces and hardware performance counters.☆850Updated last week
- PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.☆764Updated 2 years ago
- ☆220Updated 2 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆267Updated 2 years ago
- DeepLearning Framework Performance Profiling Toolkit☆287Updated 3 years ago
- Running BERT without Padding☆474Updated 3 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,023Updated 5 months ago
- a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.☆1,530Updated last month
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆886Updated 7 months ago
- Collective communications library with various primitives for multi-machine training.☆1,342Updated 3 weeks ago
- Dive into Deep Learning Compiler☆647Updated 3 years ago
- PyTorch elastic training☆729Updated 3 years ago
- Slicing a PyTorch Tensor Into Parallel Shards☆300Updated 2 months ago
- TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and sup…☆382Updated this week
- A performant and modular runtime for TensorFlow☆758Updated 2 weeks ago
- FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/☆1,426Updated this week
- A tensor-aware point-to-point communication primitive for machine learning☆262Updated last week
- common in-memory tensor structure☆1,046Updated 2 months ago
- A GPU performance profiling tool for PyTorch models☆503Updated 4 years ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆993Updated 11 months ago
- High performance model preprocessing library on PyTorch☆648Updated last year
- A library for high performance deep learning inference on NVIDIA GPUs.☆558Updated 3 years ago
- A GPipe implementation in PyTorch☆849Updated last year
- A high-performance framework for training wide-and-deep recommender systems on heterogeneous cluster☆157Updated last year
- ☆392Updated 2 years ago
- ☆588Updated 7 years ago
- Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Serv…☆484Updated 2 weeks ago
- The Tensor Algebra SuperOptimizer for Deep Learning☆730Updated 2 years ago