Alternatives and similar repositories for DeepView.Profile

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

• deepspeedai / DeepSpeed-Kernels
  ☆72Updated 6 months ago
• cchan / tccl
  extensible collectives library in triton
  ☆88Updated 6 months ago
• octoml / octoml-profile
  Home for OctoML PyTorch Profiler
  ☆114Updated 2 years ago
• stanford-futuredata / stk
  ☆113Updated last year
• meta-pytorch / torchsnapshot
  A performant, memory-efficient checkpointing library for PyTorch applications, designed with large, complex distributed workloads in mind…
  ☆161Updated 2 weeks ago
• hpcaitech / TensorNVMe
  A Python library transfers PyTorch tensors between CPU and NVMe
  ☆121Updated 10 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆58Updated last week
• meta-pytorch / BackendBench
  How to ensure correctness and ship LLM generated kernels in PyTorch
  ☆66Updated this week
• mlc-ai / llm-perf-bench
  ☆120Updated last year
• NVIDIA / compute-eval
  Evaluating Large Language Models for CUDA Code Generation ComputeEval is a framework designed to generate and evaluate CUDA code from Lar…
  ☆66Updated last week
• meta-pytorch / tritonparse
  TritonParse: A Compiler Tracer, Visualizer, and mini-Reproducer for Triton Kernels
  ☆152Updated this week
• meta-pytorch / float8_experimental
  This repository contains the experimental PyTorch native float8 training UX
  ☆224Updated last year
• triton-lang / kernels
  ☆90Updated 11 months ago
• gpu-mode / ring-attention
  ring-attention experiments
  ☆152Updated 11 months ago
• Deep-Learning-Profiling-Tools / triton-viz
  ☆242Updated this week
• efeslab / fiddler
  [ICLR'25] Fast Inference of MoE Models with CPU-GPU Orchestration
  ☆234Updated 10 months ago
• mobiusml / gemlite
  Fast low-bit matmul kernels in Triton
  ☆376Updated last week
• awslabs / slapo
  A schedule language for large model training
  ☆151Updated last month
• zinccat / Awesome-Triton-Kernels
  Collection of kernels written in Triton language
  ☆157Updated 6 months ago
• neuralmagic / compressed-tensors
  A safetensors extension to efficiently store sparse quantized tensors on disk
  ☆164Updated last week
• axonn-ai / axonn
  Parallel framework for training and fine-tuning deep neural networks
  ☆64Updated 6 months ago
• IBM / triton-dejavu
  Framework to reduce autotune overhead to zero for well known deployments.
  ☆84Updated 2 weeks ago
• microsoft / varuna
  ☆253Updated last year
• cisco-open / pymultiworld
  A framework for PyTorch to enable fault management for collective communication libraries (CCL) such as NCCL
  ☆19Updated 3 weeks ago
• gpu-mode / triton-index
  Cataloging released Triton kernels.
  ☆261Updated last month
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆54Updated this week
• meta-pytorch / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆45Updated last month
• foundation-model-stack / foundation-model-stack
  🚀 Collection of components for development, training, tuning, and inference of foundation models leveraging PyTorch native components.
  ☆213Updated last week
• abacusai / gh200-llm
  Docker image NVIDIA GH200 machines - optimized for vllm serving and hf trainer finetuning
  ☆48Updated 7 months ago
• open-lm-engine / flash-model-architectures
  A bunch of kernels that might make stuff slower 😉
  ☆59Updated this week