Alternatives and similar repositories for DeepView.Profile

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

• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆113Updated 2 years ago
• cchan / tccl
  extensible collectives library in triton
  ☆88Updated 4 months ago
• pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆158Updated 2 months ago
• deepspeedai / DeepSpeed-Kernels
  ☆74Updated 5 months ago
• ShishirPatil / poet
  ML model training for edge devices
  ☆166Updated last year
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆353Updated last week
• stanford-futuredata / stk
  ☆110Updated last year
• google / aqt
  ☆325Updated 3 weeks ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆153Updated last week
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated last year
• awslabs / slapo
  A schedule language for large model training
  ☆149Updated last week
• gpu-mode / ring-attention
  ring-attention experiments
  ☆149Updated 10 months ago
• mlc-ai / llm-perf-bench
  ☆119Updated last year
• Deep-Learning-Profiling-Tools / triton-viz
  ☆232Updated last week
• meta-pytorch / applied-ai
  Applied AI experiments and examples for PyTorch
  ☆291Updated this week
• axonn-ai / axonn
  A parallel framework for training deep neural networks
  ☆63Updated 5 months ago
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and mini-Reproducer(WIP) for Triton Kernels
  ☆144Updated this week
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆52Updated 2 weeks ago
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆44Updated last week
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆208Updated last week
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆120Updated 9 months ago
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆226Updated 9 months ago
• apple / ml-recurrent-drafter
  ☆217Updated 7 months ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆102Updated last year
• jax-ml / ml_dtypes
  A stand-alone implementation of several NumPy dtype extensions used in machine learning.
  ☆291Updated 2 weeks ago
• microsoft / varuna
  ☆251Updated last year
• facebookresearch / HolisticTraceAnalysis
  A library to analyze PyTorch traces.
  ☆404Updated last week
• IST-DASLab / qmoe
  Code for the paper "QMoE: Practical Sub-1-Bit Compression of Trillion-Parameter Models".
  ☆277Updated last year
• triton-lang / kernels
  ☆88Updated 9 months ago
• IST-DASLab / Sparse-Marlin
  Boosting 4-bit inference kernels with 2:4 Sparsity
  ☆80Updated 11 months ago