Alternatives and similar repositories for TVM-Sandbox

Users that are interested in TVM-Sandbox are comparing it to the libraries listed below

• masahi / torchscript-to-tvm
  ☆68Updated 2 years ago
• tlc-pack / TLCBench
  Benchmark scripts for TVM
  ☆74Updated 3 years ago
• WuDan0399 / Integrate-NVDLA-and-TVM
  ☆33Updated 2 years ago
• ModelTC / pyvlova
  Yet another Polyhedra Compiler for DeepLearning
  ☆19Updated 2 years ago
• NVIDIA / sampleQAT
  Inference of quantization aware trained networks using TensorRT
  ☆83Updated 2 years ago
• tlc-pack / tophub
  tophub autotvm log collections
  ☆69Updated 2 years ago
• vinx13 / tvm-cuda-int8-benchmark
  Benchmark of TVM quantized model on CUDA
  ☆111Updated 5 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 6 years ago
• CharlieCurry / tvm-learning
  TVM learning and research
  ☆13Updated 4 years ago
• cap-lab / S3NAS
  Fast NPU-aware Neural Architecture Search
  ☆22Updated 4 years ago
• areusch / microtvm-blogpost-eval
  ☆29Updated 4 years ago
• PannenetsF / TQT
  TQT's pytorch implementation.
  ☆21Updated 3 years ago
• ModelTC / NNLQP
  ☆36Updated 3 years ago
• DeadAt0m / LSQFakeQuantize-PyTorch
  FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch
  ☆36Updated 3 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆98Updated 4 years ago
• jack-willturner / pytorch-onnx-tvm
  PyTorch -> ONNX -> TVM for autotuning
  ☆24Updated 5 years ago
• quettabit / convolution_kernel
  Accelerating CNN's convolution operation on GPUs by using memory-efficient data access patterns.
  ☆14Updated 7 years ago
• submission2019 / AnalyticalScaleForIntegerQuantization
  Example for applying Gaussian and Laplace clipping on activations of CNN.
  ☆34Updated 6 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆111Updated 11 months ago
• mrusci / training-mixed-precision-quantized-networks
  This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…
  ☆50Updated last year
• UoS-EEC / DynamicOFA
  [CVPRW 2021] Dynamic-OFA: Runtime DNN Architecture Switching for Performance Scaling on Heterogeneous Embedded Platforms
  ☆30Updated 3 years ago
• ModelTC / LPCV2021_Winner_Solution
  ☆28Updated 4 years ago
• pigirons / conv3x3_m1
  This is a demo how to write a high performance convolution run on apple silicon
  ☆57Updated 3 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆165Updated 2 years ago
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆28Updated 4 years ago
• buaa-hipo / dlcompiler-comparison
  The quantitative performance comparison among DL compilers on CNN models.
  ☆74Updated 5 years ago
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 7 years ago
• irvingzhang0512 / tvm_tests
  ☆17Updated 5 years ago
• IBM / pfloat
  A 8-/16-/32-/64-bit floating point number family
  ☆16Updated 3 years ago
• LeiWang1999 / tvm_gpu_gemm
  play gemm with tvm
  ☆92Updated 2 years ago