Alternatives and similar repositories for CPrune

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

• jafermarq / WinogradAwareNets
  Official implementation of "Searching for Winograd-aware Quantized Networks" (MLSys'20)
  ☆27Updated last year
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• yikaiw / SNN
  [ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"
  ☆32Updated 2 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 5 years ago
• PannenetsF / TQT
  TQT's pytorch implementation.
  ☆21Updated 3 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆149Updated 2 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆97Updated 4 years ago
• marsupialtail / gpu-sparsert
  ☆18Updated 4 years ago
• zhutmost / neuralzip
  A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralz…
  ☆26Updated 2 years ago
• peiswang / BitSplit
  BitSplit Post-trining Quantization
  ☆50Updated 3 years ago
• union-codesign / union
  ☆14Updated 3 years ago
• limenghao / AdaTune
  This is the implementation for paper: AdaTune: Adaptive Tensor Program CompilationMade Efficient (NeurIPS 2020).
  ☆14Updated 4 years ago
• zhuzilin / pytorch-malloc
  An external memory allocator example for PyTorch.
  ☆14Updated 3 years ago
• yeshaokai / ADMM-NN
  ☆36Updated 6 years ago
• UDC-GAC / openCNN
  A Winograd Minimal Filter Implementation in CUDA
  ☆25Updated 3 years ago
• lukasc-ch / ExtendedBitPlaneCompression
  Provides the code for the paper "EBPC: Extended Bit-Plane Compression for Deep Neural Network Inference and Training Accelerators" by Luk…
  ☆19Updated 5 years ago
• CAS-CLab / BlockConv
  [TCAD 2021] Block Convolution: Towards Memory-Efficient Inference of Large-Scale CNNs on FPGA
  ☆17Updated 2 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 6 months ago
• uiuc-arc / felix
  Optimize tensor program fast with Felix, a gradient descent autotuner.
  ☆28Updated last year
• Shunli-Wang / Tiny-YOLO-LSQ
  This is an implementation of YOLO using LSQ network quantization method.
  ☆23Updated 3 years ago
• IST-DASLab / gemm-fp8
  High Performance FP8 GEMM Kernels for SM89 and later GPUs.
  ☆14Updated 5 months ago
• Zhen-Dong / CoDeNet
  [FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Desi…
  ☆25Updated 2 years ago
• nycu-caslab / TinyTS
  This is the open-source version of TinyTS. The code is dirty so far. We may clean the code in the future.
  ☆17Updated 11 months ago
• masahi / torchscript-to-tvm
  ☆69Updated 2 years ago
• comaniac / epoi
  Benchmark PyTorch Custom Operators
  ☆14Updated last year
• andersy005 / tvm-in-action
  TVM stack: exploring the incredible explosion of deep-learning frameworks and how to bring them together
  ☆64Updated 7 years ago
• aojunzz / DominoSearch
  ☆19Updated 3 years ago
• sfox14 / block_minifloat
  Training with Block Minifloat number representation
  ☆14Updated 4 years ago
• YashasSamaga / ConvolutionBuildingBlocks
  GEMM and Winograd based convolutions using CUTLASS
  ☆26Updated 4 years ago