Alternatives and similar repositories for grnn

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

• xldrx / tictac
  ☆22Updated 6 years ago
• HKBU-HPML / ddl-benchmarks
  ddl-benchmarks: Benchmarks for Distributed Deep Learning
  ☆36Updated 5 years ago
• Emma926 / paradnn
  ParaDnn: A systematic performance analysis methodology for deep learning.
  ☆39Updated 5 years ago
• shriramsb / vDNN
  ☆22Updated 6 years ago
• darchr / AutoTM
  Thinking is hard - automate it
  ☆18Updated 3 years ago
• anandj91 / p3
  ☆21Updated 2 years ago
• YulhwaKim / cutlass_tilesparse
  CUDA templates for tile-sparse matrix multiplication based on CUTLASS.
  ☆50Updated 7 years ago
• TalwalkarLab / paleo
  An analytical performance modeling tool for deep neural networks.
  ☆91Updated 5 years ago
• awslabs / ratex
  ☆23Updated last month
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆136Updated 3 years ago
• zhisbug / Cavs
  Cavs: An Efficient Runtime System for Dynamic Neural Networks
  ☆15Updated 5 years ago
• awslabs / lorien
  ☆42Updated 2 years ago
• tbd-ai / tbd-suite
  ☆47Updated 2 years ago
• Emma926 / mcbench
  Mille Crepe Bench: layer-wise performance analysis for deep learning frameworks.
  ☆17Updated 5 years ago
• kanonjz / paper
  Machine Learning System
  ☆14Updated 5 years ago
• saareliad / FTPipe
  FTPipe and related pipeline model parallelism research.
  ☆43Updated 2 years ago
• hwang595 / PyTorch-parameter-server
  Implementation of Parameter Server using PyTorch communication lib
  ☆42Updated 6 years ago
• ceruleangu / Block-Sparse-Benchmark
  Benchmark for matrix multiplications between dense and block sparse (BSR) matrix in TVM, blocksparse (Gray et al.) and cuSparse.
  ☆23Updated 5 years ago
• dmlc / nnvm-fusion
  Kernel Fusion and Runtime Compilation Based on NNVM
  ☆71Updated 8 years ago
• anony-sub / chameleon
  Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation
  ☆27Updated 5 years ago
• spcl / substation
  Research and development for optimizing transformers
  ☆131Updated 4 years ago
• hku-systems / naspipe
  ☆14Updated 3 years ago
• msr-fiddle / CheckFreq
  ☆56Updated 4 years ago
• tbd-ai / tbd-tools
  ☆12Updated 5 years ago
• K-Wu / pytorch-direct_dgl
  Large Graph Convolutional Network Training with GPU-Oriented Data Communication Architecture (accepted by PVLDB)
  ☆44Updated 2 years ago
• owensgroup / merge-spmm
  Code for paper "Design Principles for Sparse Matrix Multiplication on the GPU" accepted to Euro-Par 2018
  ☆73Updated 5 years ago
• petuum / autodist
  Simple Distributed Deep Learning on TensorFlow
  ☆134Updated 3 months ago
• ParCIS / Ok-Topk
  Ok-Topk is a scheme for distributed training with sparse gradients. Ok-Topk integrates a novel sparse allreduce algorithm (less than 6k c…
  ☆27Updated 2 years ago
• lsds / Crossbow
  Crossbow: A Multi-GPU Deep Learning System for Training with Small Batch Sizes
  ☆56Updated 3 years ago
• gpgpu-sim / cutlass-gpgpu-sim
  ☆27Updated 5 years ago