Alternatives and similar repositories for simplify:

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

• google-research / diffstride
  TF/Keras code for DiffStride, a pooling layer with learnable strides.
  ☆124Updated 2 years ago
• Ujjawal-K-Panchal / coshnet
  ☆49Updated 9 months ago
• rjbruin / flexconv
  Code repository for the ICLR 2022 paper "FlexConv: Continuous Kernel Convolutions With Differentiable Kernel Sizes" https://openreview.ne…
  ☆115Updated 2 years ago
• rasbt / cyclemoid-pytorch
  Cyclemoid implementation for PyTorch
  ☆87Updated 2 years ago
• davidstutz / arxiv-submission-sanitizer-flattener
  Simple Python scripts to clean up and flatten ArXiv LaTeX submissions.
  ☆64Updated 2 years ago
• elliotwaite / pytorch-hooks-tutorial
  Examples of using PyTorch hooks, as covered in my YouTube tutorial video.
  ☆32Updated last year
• jiaweizzhao / ZerO-initialization
  ☆72Updated 2 years ago
• VITA-Group / Structure-LTH
  [ICML 2022] "Coarsening the Granularity: Towards Structurally Sparse Lottery Tickets" by Tianlong Chen, Xuxi Chen, Xiaolong Ma, Yanzhi Wa…
  ☆31Updated last year
• vra / flopth
  A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.
  ☆124Updated last month
• CSCfi / pytorch-ddp-examples
  ☆46Updated 7 months ago
• chenjoya / dropit
  DropIT: Dropping Intermediate Tensors for Memory-Efficient DNN Training (ICLR 2023)
  ☆30Updated last year
• lucaslie / torchprune
  A research library for pytorch-based neural network pruning, compression, and more.
  ☆160Updated 2 years ago
• gokul-pv / lightning-hydra-timm
  PyTorch Lightning + Hydra. + Timm: A very user-friendly template for rapid and reproducible MLOps with best practices. ⚡🔥⚡
  ☆17Updated last year
• cjrd / self-supervised-pretraining
  Repository providing a wide range of self-supervised pretrained models for computer vision tasks.
  ☆62Updated 3 years ago
• andravin / spio
  Efficient CUDA kernels for training convolutional neural networks with PyTorch.
  ☆38Updated last month
• TomerRonen34 / mixed-resolution-vit
  ☆49Updated last year
• 4uiiurz1 / pytorch-lars
  PyTorch implementation of LARS (Layer-wise Adaptive Rate Scaling)
  ☆20Updated 5 years ago
• fawazsammani / awesome-mlp-mixer
  Transformers w/o Attention, based fully on MLPs
  ☆91Updated 9 months ago
• LukasHedegaard / pytorch-benchmark
  Easily benchmark PyTorch model FLOPs, latency, throughput, allocated gpu memory and energy consumption
  ☆98Updated last year
• keivanalizadeh / ButterflyTransform
  ☆41Updated 3 years ago
• thomasverelst / awesome-dynamic-conditional-networks-cv
  Overview of conditional computution and dynamic CNNs for computer vision, with a focus on reducing computational complexity
  ☆41Updated 2 years ago
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆40Updated last year
• novice03 / timm-vis
  Visualizer for PyTorch image models
  ☆42Updated 3 years ago
• gregorbachmann / scaling_mlps
  ☆51Updated 7 months ago
• paulgavrikov / CNN-Filter-DB
  A database of over 1.4 billion 3x3 convolution filters extracted from hundreds of diverse CNN models with relevant meta information (CVPR…
  ☆30Updated last year
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• jfainberg / hashed_nets
  PyTorch implementation of HashedNets
  ☆36Updated last year
• cosmic-cortex / pytorch-hooks-tutorial
  A crash course on PyTorch hooks
  ☆40Updated 4 years ago
• y0ast / pytorch-snippets
  Collection of snippets for PyTorch users
  ☆26Updated 2 years ago