Alternatives and similar repositories for TorchSnooper:

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

• NVIDIA / runx
  Deep Learning Experiment Management
  ☆640Updated 2 years ago
• Lyken17 / Efficient-PyTorch
  My best practice of training large dataset using PyTorch.
  ☆1,097Updated 11 months ago
• alphadl / lookahead.pytorch
  lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch
  ☆335Updated 5 years ago
• demuxin / pytorch_tricks
  some tircks for PyTorch
  ☆577Updated 5 years ago
• LiyuanLucasLiu / RAdam
  On the Variance of the Adaptive Learning Rate and Beyond
  ☆2,548Updated 3 years ago
• Lyken17 / pytorch-memonger
  Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
  ☆598Updated 5 years ago
• pytorch / tnt
  A lightweight library for PyTorch training tools and utilities
  ☆1,688Updated last week
• majumderb / rezero
  Official PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
  ☆407Updated 8 months ago
• Separius / awesome-fast-attention
  list of efficient attention modules
  ☆999Updated 3 years ago
• Santosh-Gupta / SpeedTorch
  Library for faster pinned CPU <-> GPU transfer in Pytorch
  ☆685Updated 5 years ago
• Swall0w / torchstat
  Model analyzer in PyTorch
  ☆1,482Updated 2 years ago
• ptrblck / pytorch_misc
  Code snippets created for the PyTorch discussion board
  ☆561Updated 4 years ago
• awwong1 / torchprof
  PyTorch layer-by-layer model profiler
  ☆606Updated 3 years ago
• prigoyal / pytorch_memonger
  Experimental ground for optimizing memory of pytorch models
  ☆365Updated 6 years ago
• tanglang96 / DataLoaders_DALI
  PyTorch DataLoaders implemented with DALI for accelerating image preprocessing
  ☆881Updated 4 years ago
• epfml / attention-cnn
  Source code for "On the Relationship between Self-Attention and Convolutional Layers"
  ☆1,099Updated 2 years ago
• switchablenorms / Switchable-Normalization
  Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10…
  ☆865Updated 4 years ago
• lessw2020 / Ranger-Deep-Learning-Optimizer
  Ranger - a synergistic optimizer using RAdam (Rectified Adam), Gradient Centralization and LookAhead in one codebase
  ☆1,199Updated last year
• PistonY / torch-toolbox
  🛠 Toolbox to extend PyTorch functionalities
  ☆418Updated 11 months ago
• timgaripov / swa
  Stochastic Weight Averaging in PyTorch
  ☆971Updated 3 years ago
• vacancy / Synchronized-BatchNorm-PyTorch
  Synchronized Batch Normalization implementation in PyTorch.
  ☆1,500Updated 4 years ago
• waleedka / hiddenlayer
  Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.
  ☆1,821Updated last year
• achaiah / pywick
  High-level batteries-included neural network training library for Pytorch
  ☆400Updated 3 years ago
• nmhkahn / torchsummaryX
  torchsummaryX: Improved visualization tool of torchsummary
  ☆303Updated 3 years ago
• ildoonet / pytorch-gradual-warmup-lr
  Gradually-Warmup Learning Rate Scheduler for PyTorch
  ☆988Updated 6 months ago
• pytorchbearer / torchbearer
  torchbearer: A model fitting library for PyTorch
  ☆640Updated last year
• Yonghongwei / Gradient-Centralization
  A New Optimization Technique for Deep Neural Networks
  ☆535Updated 3 years ago
• lucidrains / lambda-networks
  Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
  ☆1,531Updated 4 years ago
• lartpang / PyTorchTricks
  Some tricks of pytorch...
  ☆1,187Updated 10 months ago
• PhilJd / contiguous_pytorch_params
  Accelerate training by storing parameters in one contiguous chunk of memory.
  ☆291Updated 4 years ago