Alternatives and similar repositories for cvGPUSpeedup:

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

• triple-Mu / TensorRT2ONNX
  A tool convert TensorRT engine/plan to a fake onnx
  ☆38Updated 2 years ago
• onnx / neural-compressor
  Model compression for ONNX
  ☆87Updated 3 months ago
• dusty-nv / NanoDB
  Zero-copy multimodal vector DB with CUDA and CLIP/SigLIP
  ☆48Updated 9 months ago
• ibaiGorordo / ONNX-NeuFlowV2-Optical-Flow
  Python scripts performing optical flow estimation using the NeuFlowV2 model in ONNX.
  ☆40Updated 5 months ago
• dusty-nv / clip_trt
  CLIP and SigLIP models optimized with TensorRT with a Transformers-like API
  ☆22Updated 5 months ago
• triple-Mu / HunyuanDiT-TensorRT-libtorch
  HunyuanDiT with TensorRT and libtorch
  ☆17Updated 9 months ago
• leimao / Nsight-Systems-Docker-Image
  Nsight Systems In Docker
  ☆20Updated last year
• PINTO0309 / spo4onnx
  Simple tool for partial optimization of ONNX. Further optimize some models that cannot be optimized with onnx-optimizer and onnxsim by se…
  ☆19Updated 10 months ago
• NVlabs / EfficientDL
  ☆31Updated 8 months ago
• zhenhuaw-me / onnxcli
  ONNX Command-Line Toolbox
  ☆35Updated 5 months ago
• triple-Mu / Stable-Diffusion-TensorRT
  Stable Diffusion in TensorRT 8.5+
  ☆14Updated last year
• ahennequ / cuda-tensorcores-register-mapping
  ☆18Updated 2 years ago
• CVHub520 / efficientvit
  EfficientViT is a new family of vision models for efficient high-resolution vision.
  ☆24Updated last year
• leimao / PyTorch-Eager-Mode-Quantization-TensorRT-Acceleration
  TensorRT Acceleration for PyTorch Native Eager Mode Quantization Models
  ☆14Updated 7 months ago
• PINTO0309 / sne4onnx
  A very simple tool for situations where optimization with onnx-simplifier would exceed the Protocol Buffers upper file size limit of 2GB,…
  ☆16Updated 10 months ago
• latentCall145 / channels-last-groupnorm
  A CUDA kernel for NHWC GroupNorm for PyTorch
  ☆18Updated 3 months ago
• ibaiGorordo / onnx-perf-test
  A simple Python tool to measure the performance of ONNX models.
  ☆26Updated 5 months ago
• PINTO0309 / scs4onnx
  A very simple tool that compresses the overall size of the ONNX model by aggregating duplicate constant values as much as possible.
  ☆52Updated 2 years ago
• ibaiGorordo / ONNX-YOLO-World-Open-Vocabulary-Object-Detection
  Python scripts performing Open Vocabulary Object Detection using the YOLO-World model in ONNX.
  ☆48Updated 11 months ago
• autodistill / autodistill-grounded-edgesam
  EdgeSAM model for use with Autodistill.
  ☆26Updated 9 months ago
• google-ai-edge / ai-edge-quantizer
  AI Edge Quantizer: flexible post training quantization for LiteRT models.
  ☆24Updated this week
• hisrg / SNPE
  Snapdragon Neural Processing Engine (SNPE) SDKThe Snapdragon Neural Processing Engine (SNPE) is a Qualcomm Snapdragon software accelerate…
  ☆34Updated 2 years ago
• ibaiGorordo / Tapir-Pytorch-Inference
  Minimal code for Tapir model inference in Pytorch
  ☆16Updated 7 months ago
• AXERA-TECH / CLIP-ONNX-AX650-CPP
  ☆21Updated 2 months ago
• PINTO0309 / sio4onnx
  Simple tool to change the INPUT and OUTPUT shape of ONNX.
  ☆14Updated 2 years ago
• Oneflow-Inc / OneFlow-Pruning
  [CVPR-2023] Towards Any Structural Pruning
  ☆16Updated last year
• li199603 / sgemm_with_cuda
  ☆15Updated 11 months ago