Alternatives and similar repositories for TensorRT-in-Action:

Users that are interested in TensorRT-in-Action are comparing it to the libraries listed below

• zeroine / cutlass-cute-sample
  ☆29Updated 11 months ago
• LeiWang1999 / TVM.CMakeExtend
  Tutorials of Extending and importing TVM with CMAKE Include dependency.
  ☆13Updated 5 months ago
• caiwanxianhust / FasterLLaMA
  使用 CUDA C++ 实现的 llama 模型推理框架
  ☆48Updated 4 months ago
• weishengying / cutlass_flash_atten_fp8
  使用 cutlass 仓库在 ada 架构上实现 fp8 的 flash attention
  ☆60Updated 7 months ago
• DD-DuDa / BitDistiller
  [ACL 2024] A novel QAT with Self-Distillation framework to enhance ultra low-bit LLMs.
  ☆109Updated 10 months ago
• TRT2022 / trtllm-llama
  ☢️ TensorRT 2023复赛——基于TensorRT-LLM的Llama模型推断加速优化
  ☆46Updated last year
• iclementine / optimize_softmax
  Optimize softmax in triton in many cases
  ☆20Updated 6 months ago
• AyakaGEMM / Hands-on-GEMM
  ☆114Updated last year
• Ther-nullptr / circult-eda-mlsys-tinyml-arxiv-daily
  🎓Automatically Update circult-eda-mlsys-tinyml Papers Daily using Github Actions (Update Every 8th hours)
  ☆10Updated this week
• CalebDu / Awesome-Cute
  ☆48Updated 2 months ago
• Tlntin / trt2023
  ☆24Updated last year
• Bruce-Lee-LY / decoding_attention
  Decoding Attention is specially optimized for MHA, MQA, GQA and MLA using CUDA core for the decoding stage of LLM inference.
  ☆35Updated 2 weeks ago
• harleyszhang / llm_counts
  llm theoretical performance analysis tools and support params, flops, memory and latency analysis.
  ☆80Updated 2 months ago
• OpenPPL / ppl.pmx
  ☆58Updated 4 months ago
• luliyucoordinate / flash-attention-minimal
  Flash Attention in ~100 lines of CUDA (forward pass only)
  ☆10Updated 9 months ago
• DD-DuDa / Cute-Learning
  Examples of CUDA implementations by Cutlass CuTe
  ☆146Updated last month
• Ranking666 / Base-quantization
  base quantization methods including: QAT, PTQ, per_channel, per_tensor, dorefa, lsq, adaround, omse, Histogram, bias_correction.etc
  ☆42Updated 2 years ago
• sunkx109 / My-Torch-Extension
  A minimalist and extensible PyTorch extension for implementing custom backend operators in PyTorch.
  ☆33Updated 11 months ago
• Bruce-Lee-LY / cutlass_gemm
  Multiple GEMM operators are constructed with cutlass to support LLM inference.
  ☆17Updated 6 months ago
• tlc-pack / cutlass_fpA_intB_gemm
  A standalone GEMM kernel for fp16 activation and quantized weight, extracted from FasterTransformer
  ☆90Updated last month
• caijixueIT / CUDA_Learning_for_Freshman
  ☆10Updated 3 weeks ago
• Qwesh157 / conv_op_optimization
  This project is about convolution operator optimization on GPU, include GEMM based (Implicit GEMM) convolution.
  ☆27Updated 3 months ago
• jundaf2 / CUDA-INT8-GEMM
  CUDA 8-bit Tensor Core Matrix Multiplication based on m16n16k16 WMMA API
  ☆28Updated last year
• BrotherHappy / OSTQuant
  [ICLR2025]: OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitt…
  ☆31Updated 2 months ago
• 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.
  ☆35Updated last month
• aiha-lab / MX-QLLM
  LLM Inference with Microscaling Format
  ☆20Updated 4 months ago
• JieRen98 / SGEMM-SASS-Annotation
  ☆19Updated 4 years ago
• ruikangliu / FlatQuant
  Official PyTorch implementation of FlatQuant: Flatness Matters for LLM Quantization
  ☆112Updated this week
• MegEngine / examples
  A set of examples around MegEngine
  ☆31Updated last year
• wimh966 / outlier_suppression
  The official PyTorch implementation of the NeurIPS2022 (spotlight) paper, Outlier Suppression: Pushing the Limit of Low-bit Transformer L…
  ☆48Updated 2 years ago