Alternatives and similar repositories for Dpex

Users that are interested in Dpex are comparing it to the libraries listed below

• YellowOldOdd / SDBI
  Simple Dynamic Batching Inference
  ☆145Updated 3 years ago
• Harry-Chen / InfMoE
  Inference framework for MoE layers based on TensorRT with Python binding
  ☆41Updated 4 years ago
• ModelTC / awesome-lm-system
  Summary of system papers/frameworks/codes/tools on training or serving large model
  ☆57Updated last year
• jianweif / OptimalGradCheckpointing
  ☆41Updated 4 years ago
• ucbrise / actnn
  ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
  ☆200Updated 2 years ago
• feifeibear / Odysseus-Transformer
  Odysseus: Playground of LLM Sequence Parallelism
  ☆77Updated last year
• L1aoXingyu / llm-infer-bench
  ☆11Updated 2 years ago
• uwsampl / dtr-prototype
  Dynamic Tensor Rematerialization prototype (modified PyTorch) and simulator. Paper: https://arxiv.org/abs/2006.09616
  ☆132Updated 2 years ago
• Ascend / AscendSpeed
  ☆79Updated last year
• cli99 / flops-profiler
  pytorch-profiler
  ☆51Updated 2 years ago
• Oneflow-Inc / OneFlow-Benchmark
  OneFlow models for benchmarking.
  ☆104Updated last year
• wangguojim / LargeScale
  ☆19Updated last year
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• jundaf2 / INT8-Flash-Attention-FMHA-Quantization
  ☆159Updated 2 years ago
• Oneflow-Inc / models
  Models and examples built with OneFlow
  ☆99Updated 11 months ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆121Updated 9 months ago
• feifeibear / PSTensor
  PSTensor provides a way to hack the memory management of tensors in TensorFlow and PyTorch by defining your own C++ Tensor Class.
  ☆10Updated 3 years ago
• NVIDIA-NeMo / Megatron-Bridge
  Training library for Megatron-based models
  ☆74Updated last week
• openmlsys / openmlsys-cuda
  Tutorials for writing high-performance GPU operators in AI frameworks.
  ☆131Updated 2 years ago
• feifeibear / PyTorchMemTracer
  Depict GPU memory footprint during DNN training of PyTorch
  ☆11Updated 2 years ago
• volcengine / veGiantModel
  ☆220Updated 2 years ago
• kaiyuyue / torchshard
  Slicing a PyTorch Tensor Into Parallel Shards
  ☆300Updated 3 months ago
• tlc-pack / TLCBench
  Benchmark scripts for TVM
  ☆74Updated 3 years ago
• BBuf / megatron-lm-parallel-group-playground
  ☆16Updated last year
• Oneflow-Inc / oneflow-documentation
  oneflow documentation
  ☆69Updated last year
• Bruce-Lee-LY / flash_attention_inference
  Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
  ☆40Updated 6 months ago
• stanford-futuredata / stk
  ☆111Updated last year
• GuanhuaWang / sensAI
  sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data
  ☆64Updated last year
• spcl / substation
  Research and development for optimizing transformers
  ☆130Updated 4 years ago
• AniZpZ / AutoSmoothQuant
  An easy-to-use package for implementing SmoothQuant for LLMs
  ☆106Updated 5 months ago