Bagua Speeds up PyTorch
☆884Aug 1, 2024Updated last year
Alternatives and similar repositories for bagua
Users that are interested in bagua are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- High performance distributed framework for training deep learning recommendation models based on PyTorch.☆411Jun 14, 2025Updated 9 months ago
- Core communication lib for Bagua.☆48Sep 15, 2021Updated 4 years ago
- High performance NCCL plugin for Bagua.☆15Sep 15, 2021Updated 4 years ago
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- Kubernetes operator for Bagua distributed training job.☆13Feb 7, 2023Updated 3 years ago
- PyTorch extensions for high performance and large scale training.☆3,404Apr 26, 2025Updated 10 months ago
- Bagua tutorials.☆13Sep 4, 2022Updated 3 years ago
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆921Dec 30, 2024Updated last year
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,078Apr 17, 2024Updated last year
- Training and serving large-scale neural networks with auto parallelization.☆3,187Dec 9, 2023Updated 2 years ago
- LightSeq: A High Performance Library for Sequence Processing and Generation☆3,302May 16, 2023Updated 2 years ago
- gossip: Efficient Communication Primitives for Multi-GPU Systems☆62Jul 1, 2022Updated 3 years ago
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆271Mar 31, 2023Updated 2 years ago
- Collective communications library with various primitives for multi-machine training.☆1,407Updated this week
- Resource-adaptive cluster scheduler for deep learning training.☆453Mar 5, 2023Updated 3 years ago
- Kubernetes-native Deep Learning Framework☆744Jan 26, 2024Updated 2 years ago
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,679Dec 1, 2025Updated 3 months ago
- ☆251Jul 25, 2024Updated last year
- Transformer related optimization, including BERT, GPT☆6,400Mar 27, 2024Updated last year
- PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.☆778Nov 18, 2025Updated 4 months ago
- PyTorch elastic training☆729Jun 15, 2022Updated 3 years ago
- HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training☆1,053Mar 12, 2026Updated last week
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,389Dec 4, 2025Updated 3 months ago
- A flexible and efficient deep neural network (DNN) compiler that generates high-performance executable from a DNN model description.☆1,003Sep 19, 2024Updated last year
- PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021☆56Jul 21, 2021Updated 4 years ago
- A fast MoE impl for PyTorch☆1,846Feb 10, 2025Updated last year
- Slicing a PyTorch Tensor Into Parallel Shards☆300Jun 7, 2025Updated 9 months ago
- Fault-tolerant for DL frameworks☆70Jul 5, 2023Updated 2 years ago
- Run your deep learning workloads on Kubernetes more easily and efficiently.☆531Mar 4, 2024Updated 2 years ago
- A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch☆8,936Mar 17, 2026Updated last week
- Development repository for the Triton language and compiler☆18,708Updated this week
- ☆220Aug 17, 2023Updated 2 years ago
- A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on H…☆3,231Updated this week
- FFCV: Fast Forward Computer Vision (and other ML workloads!)☆2,986Jun 16, 2024Updated last year
- Library for 8-bit optimizers and quantization routines.☆780Aug 18, 2022Updated 3 years ago
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,709Mar 16, 2026Updated last week
- Kubernetes Operator for AI and Bigdata Elastic Training☆91Jan 10, 2025Updated last year
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,864Updated this week
- a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.☆1,542Jul 18, 2025Updated 8 months ago