Alternatives and similar repositories for DeepView.Profile:

Users that are interested in DeepView.Profile are comparing it to the libraries listed below

• cchan / tccl
  extensible collectives library in triton
  ☆86Updated last month
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• triton-lang / kernels
  ☆79Updated 6 months ago
• stanford-futuredata / stk
  ☆104Updated 8 months ago
• awslabs / slapo
  A schedule language for large model training
  ☆146Updated 10 months ago
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆47Updated 4 months ago
• pytorch-labs / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆264Updated last week
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆115Updated 5 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆70Updated last week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆140Updated 6 months ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆157Updated 5 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆297Updated this week
• Jokeren / triton-samples
  ☆27Updated 3 months ago
• siboehm / ShallowSpeed
  Small scale distributed training of sequential deep learning models, built on Numpy and MPI.
  ☆131Updated last year
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆73Updated 8 months ago
• pytorch-labs / tritonbench
  Tritonbench is a collection of PyTorch custom operators with example inputs to measure their performance.
  ☆122Updated this week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆194Updated this week
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆90Updated 3 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆202Updated 2 weeks ago
• ScalingIntelligence / hydragen
  Hydragen: High-Throughput LLM Inference with Shared Prefixes
  ☆36Updated last year
• deepspeedai / DeepSpeed-Kernels
  ☆68Updated last month
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆44Updated this week
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆209Updated 5 months ago
• vedantroy / gpu_kernels
  ☆26Updated last year
• microsoft / TileFusion
  TileFusion is an experimental C++ macro kernel template library that elevates the abstraction level in CUDA C for tile processing.
  ☆84Updated last week
• Deep-Learning-Profiling-Tools / triton-samples
  ☆13Updated 2 months ago
• openxla / shardy
  MLIR-based partitioning system
  ☆82Updated this week
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆368Updated last week
• cisco-open / pymultiworld
  A framework for PyTorch to enable fault management for collective communication libraries (CCL) such as NCCL
  ☆19Updated last week