Alternatives and similar repositories for gpu_memory_profiling

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

• adityaiitb / pyprof2
  PyProf2: PyTorch Profiling tool
  ☆82Updated 5 years ago
• microsoft / infinibatch
  Efficient, check-pointed data loading for deep learning with massive data sets.
  ☆208Updated 2 years ago
• rosinality / adaptive-softmax-pytorch
  Adaptive Softmax implementation for PyTorch
  ☆81Updated 6 years ago
• yzh119 / segtree-transformer-v0
  Code for SegTree Transformer (ICLR-RLGM 2019).
  ☆27Updated 5 years ago
• csrhddlam / pytorch-checkpoint
  ☆165Updated 6 years ago
• harvardnlp / genbmm
  CUDA kernels for generalized matrix-multiplication in PyTorch
  ☆84Updated 3 years ago
• zphang / adaptive-computation-time-pytorch
  Alex Graves' Adaptive Computation Time in PyTorch
  ☆14Updated 7 years ago
• rdspring1 / PyTorch_GBW_LM
  PyTorch Language Model for 1-Billion Word (LM1B / GBW) Dataset
  ☆123Updated 5 years ago
• cybertronai / transformer-xl
  Training Transformer-XL on 128 GPUs
  ☆140Updated 5 years ago
• gonglinyuan / StackingBERT
  Source code for "Efficient Training of BERT by Progressively Stacking"
  ☆112Updated 5 years ago
• tnq177 / transformers_without_tears
  Transformers without Tears: Improving the Normalization of Self-Attention
  ☆131Updated last year
• demelin / Noise-Contrastive-Estimation-NCE-for-pyTorch
  Re-implementation of the Noise Contrastive Estimation algorithm for pyTorch, following "Noise-contrastive estimation: A new estimation pr…
  ☆45Updated 5 years ago
• TimDettmers / transformer-xl
  ☆64Updated 5 years ago
• layer6ai-labs / T-Fixup
  Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"
  ☆89Updated 4 years ago
• toshas / torch-discounted-cumsum
  Fast Discounted Cumulative Sums in PyTorch
  ☆96Updated 3 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• ssnl / PyTorch-Reparam-Module
  Reparameterize your PyTorch modules
  ☆71Updated 4 years ago
• cybertronai / imagenet18
  Train ImageNet in 18 minutes on AWS
  ☆130Updated last year
• allenai / sledgehammer
  ☆47Updated 5 years ago
• stanford-futuredata / pytorch-distributed
  Fork of diux-dev/imagenet18
  ☆16Updated 6 years ago
• Separius / CudaRelativeAttention
  custom cuda kernel for {2, 3}d relative attention with pytorch wrapper
  ☆43Updated 5 years ago
• asappresearch / flop
  Pytorch library for factorized L0-based pruning.
  ☆45Updated last year
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆67Updated last year
• khakhulin / compressed-transformer
  Compression of NMT transformer model with tensor methods
  ☆48Updated 6 years ago
• prigoyal / pytorch_memonger
  Experimental ground for optimizing memory of pytorch models
  ☆366Updated 7 years ago
• lancopku / meProp
  meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
  ☆110Updated 3 years ago
• clovaai / length-adaptive-transformer
  Official Pytorch Implementation of Length-Adaptive Transformer (ACL 2021)
  ☆101Updated 4 years ago
• parasj / checkmate
  Training neural networks in TensorFlow 2.0 with 5x less memory
  ☆132Updated 3 years ago
• Stonesjtu / pytorch-learning
  learning notes when learning the source code of pytorch
  ☆24Updated 6 years ago
• stefbraun / rnn_benchmarks
  RNN benchmarks of pytorch, tensorflow and theano
  ☆89Updated 6 years ago