Alternatives and similar repositories for tritonparse

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

• Deep-Learning-Profiling-Tools / triton-samples
  ☆13Updated 2 months ago
• GindaChen / FlexFlashAttention3
  FlexAttention w/ FlashAttention3 Support
  ☆26Updated 8 months ago
• gpu-mode / discord-cluster-manager
  Write a fast kernel and run it on Discord. See how you compare against the best!
  ☆44Updated this week
• alexzhang13 / Triton-Puzzles-Solutions
  Personal solutions to the Triton Puzzles
  ☆18Updated 10 months ago
• UmerHA / triton_util
  Make triton easier
  ☆47Updated 11 months ago
• hazan-lab / flash-stu
  PyTorch implementation of the Flash Spectral Transform Unit.
  ☆16Updated 8 months ago
• xjdr-alt / mla_blog_translation
  ☆12Updated 11 months ago
• NVIDIA / free-threaded-python
  No-GIL Python environment featuring NVIDIA Deep Learning libraries.
  ☆60Updated last month
• lianakoleva / no-libtorch-compile
  ☆21Updated 3 months ago
• NVIDIA / jaxpp
  JaxPP is a library for JAX that enables flexible MPMD pipeline parallelism for large-scale LLM training
  ☆45Updated 2 weeks ago
• ScalingIntelligence / good-kernels
  Samples of good AI generated CUDA kernels
  ☆65Updated last week
• open-lm-engine / cute-kernels
  A bunch of kernels that might make stuff slower 😉
  ☆46Updated this week
• Jokeren / triton-samples
  ☆28Updated 4 months ago
• fw-ai / llama-cuda-graph-example
  Example of applying CUDA graphs to LLaMA-v2
  ☆12Updated last year
• pytorch / tlparse
  TORCH_LOGS parser for PT2
  ☆38Updated last week
• manishucsd / py-codegen
  ☆16Updated 8 months ago
• graphcore-research / out-of-the-box-fp8-training
  Demo of the unit_scaling library, showing how a model can be easily adapted to train in FP8.
  ☆44Updated 10 months ago
• salykova / sgemm.cu
  High-Performance SGEMM on CUDA devices
  ☆94Updated 4 months ago
• daniel-geon-park / triton_bwd
  Automatic differentiation for Triton Kernels
  ☆11Updated 2 months ago
• srush / triton-autodiff
  Experiment of using Tangent to autodiff triton
  ☆79Updated last year
• cchan / tccl
  extensible collectives library in triton
  ☆87Updated 2 months ago
• ezyang / torchdbg
  PyTorch centric eager mode debugger
  ☆47Updated 5 months ago
• kuterd / opal_ptx
  Experimental GPU language with meta-programming
  ☆22Updated 9 months ago
• sgl-project / DeepGEMM
  DeepGEMM: clean and efficient FP8 GEMM kernels with fine-grained scaling
  ☆15Updated 3 weeks ago
• simveit / effective_transpose
  Effective transpose on Hopper GPU
  ☆20Updated last month
• pytorch-labs / triton-cpu
  An experimental CPU backend for Triton (https//github.com/openai/triton)
  ☆43Updated 2 months ago
• evanatyourservice / llm-jax
  Train a SmolLM-style llm on fineweb-edu in JAX/Flax with an assortment of optimizers.
  ☆17Updated 2 months ago
• mayank31398 / ladder-residual-inference
  ☆13Updated 3 weeks ago
• tile-ai / AttentionEngine
  ☆49Updated 2 weeks ago
• WaveSpeedAI / QuantumAttention
  [WIP] Better (FP8) attention for Hopper
  ☆30Updated 3 months ago