Alternatives and similar repositories for PyTorch-cuDNN-Convolution

Users that are interested in PyTorch-cuDNN-Convolution are comparing it to the libraries listed below

• cmu-catalyst / collage
  System for automated integration of deep learning backends.
  ☆48Updated 2 years ago
• cjf00000 / StatQuant
  code for the paper "A Statistical Framework for Low-bitwidth Training of Deep Neural Networks"
  ☆28Updated 4 years ago
• naver-aics / lut-gemm
  ☆55Updated last year
• Guangxuan-Xiao / torch-int
  This repository contains integer operators on GPUs for PyTorch.
  ☆204Updated last year
• masahi / tvm-cutlass-eval
  ☆38Updated 3 years ago
• cornell-zhang / dnn-quant-ocs
  DNN quantization with outlier channel splitting
  ☆112Updated 5 years ago
• LiuXiaoxuanPKU / GACT-ICML
  ☆42Updated 2 years ago
• msr-fiddle / piper
  ☆9Updated 3 years ago
• zhuohan123 / terapipe
  ☆72Updated 4 years ago
• AlibabaPAI / DAPPLE
  An Efficient Pipelined Data Parallel Approach for Training Large Model
  ☆76Updated 4 years ago
• HPDL-Group / Merak
  ☆79Updated 3 weeks ago
• gilshm / sparq
  Post-training sparsity-aware quantization
  ☆34Updated 2 years ago
• IntelLabs / FP8-Emulation-Toolkit
  PyTorch extension for emulating FP8 data formats on standard FP32 Xeon/GPU hardware.
  ☆110Updated 5 months ago
• facebookexperimental / triton
  Github mirror of trition-lang/triton repo.
  ☆26Updated this week
• nox-410 / tvm.tl
  An extention of TVMScript to write simple and high performance GPU kernels with tensorcore.
  ☆50Updated 9 months ago
• ParCIS / Chimera
  Chimera: bidirectional pipeline parallelism for efficiently training large-scale models.
  ☆63Updated last month
• aojunzz / NM-sparsity
  ☆230Updated 2 years ago
• yifuwang / symm-mem-recipes
  ☆76Updated 4 months ago
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆41Updated 2 years ago
• tlc-pack / TLCBench
  Benchmark scripts for TVM
  ☆74Updated 3 years ago
• Qualcomm-AI-research / FP8-quantization
  ☆146Updated 2 years ago
• yanghr / BSQ
  BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
  ☆40Updated 4 years ago
• EunhyeokPark / PROFIT
  ☆47Updated 3 years ago
• SamsungLabs / eagle
  Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models
  ☆66Updated 2 years ago
• papers-submission / structured_transposable_masks
  Code for ICML 2021 submission
  ☆34Updated 4 years ago
• ModelTC / NNLQP
  ☆36Updated 2 years ago
• ankan-ban / llama_cu_awq
  llama INT4 cuda inference with AWQ
  ☆54Updated 3 months ago
• Qualcomm-AI-research / BayesianBits
  ☆20Updated 3 years ago
• itayhubara / CalibTIP
  Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
  ☆96Updated 3 years ago
• xvyaward / owq
  Code for the AAAI 2024 Oral paper "OWQ: Outlier-Aware Weight Quantization for Efficient Fine-Tuning and Inference of Large Language Model…
  ☆61Updated last year