PatrickStar enables Larger, Faster, Greener Pretrained Models for NLP and democratizes AI for everyone.
☆779Nov 18, 2025Updated 3 months ago
Alternatives and similar repositories for PatrickStar
Users that are interested in PatrickStar are comparing it to the libraries listed below
Sorting:
- a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.☆1,544Jul 18, 2025Updated 7 months ago
- LightSeq: A High Performance Library for Sequence Processing and Generation☆3,303May 16, 2023Updated 2 years ago
- Official repository for DistFlashAttn: Distributed Memory-efficient Attention for Long-context LLMs Training☆222Aug 19, 2024Updated last year
- PyTorch extensions for high performance and large scale training.☆3,400Apr 26, 2025Updated 10 months ago
- Bagua Speeds up PyTorch☆884Aug 1, 2024Updated last year
- BladeDISC is an end-to-end DynamIc Shape Compiler project for machine learning workloads.☆917Dec 30, 2024Updated last year
- Training and serving large-scale neural networks with auto parallelization.☆3,184Dec 9, 2023Updated 2 years ago
- Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616☆133Jul 6, 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…☆3,176Updated this week
- Transformer related optimization, including BERT, GPT☆6,398Mar 27, 2024Updated last year
- Ongoing research training transformer models at scale☆15,461Updated this week
- Ring attention implementation with flash attention☆986Sep 10, 2025Updated 5 months ago
- Automatically Discovering Fast Parallelization Strategies for Distributed Deep Neural Network Training☆1,863Updated this week
- Easy Parallel Library (EPL) is a general and efficient deep learning framework for distributed model training.☆271Mar 31, 2023Updated 2 years ago
- Tutel MoE: Optimized Mixture-of-Experts Library, Support GptOss/DeepSeek/Kimi-K2/Qwen3 using FP8/NVFP4/MXFP4☆969Dec 21, 2025Updated 2 months ago
- ☆28Jul 11, 2021Updated 4 years ago
- Making large AI models cheaper, faster and more accessible☆41,359Feb 23, 2026Updated last week
- A Python-level JIT compiler designed to make unmodified PyTorch programs faster.☆1,075Apr 17, 2024Updated last year
- PSTensor provides a way to hack the memory management of tensors in TensorFlow and PyTorch by defining your own C++ Tensor Class.☆10Feb 10, 2022Updated 4 years ago
- ☆219Aug 17, 2023Updated 2 years ago
- AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (N…☆4,706Jan 12, 2026Updated last month
- Microsoft Automatic Mixed Precision Library☆636Dec 1, 2025Updated 3 months ago
- Slicing a PyTorch Tensor Into Parallel Shards☆300Jun 7, 2025Updated 8 months ago
- Pipeline Parallelism for PyTorch☆785Aug 21, 2024Updated last year
- Foundation Architecture for (M)LLMs☆3,135Apr 11, 2024Updated last year
- OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.☆9,391Dec 4, 2025Updated 3 months ago
- DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.☆41,706Updated this week
- A fast MoE impl for PyTorch☆1,840Feb 10, 2025Updated last year
- Automated Parallelization System and Infrastructure for Multiple Ecosystems☆82Nov 19, 2024Updated last year
- optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052☆478Mar 15, 2024Updated last year
- A baseline repository of Auto-Parallelism in Training Neural Networks☆147Jun 25, 2022Updated 3 years ago
- A high performance and generic framework for distributed DNN training☆3,716Oct 3, 2023Updated 2 years ago
- Development repository for the Triton language and compiler☆18,501Updated this week
- A GPipe implementation in PyTorch☆863Jul 25, 2024Updated last year
- Zero Bubble Pipeline Parallelism☆451May 7, 2025Updated 9 months ago
- Running BERT without Padding☆480Mar 18, 2022Updated 3 years ago
- Large-scale model inference.☆627Sep 12, 2023Updated 2 years ago
- Ongoing research training transformer language models at scale, including: BERT & GPT-2☆2,230Aug 14, 2025Updated 6 months ago
- ☆78May 4, 2021Updated 4 years ago