Alternatives and similar repositories for PruNet

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

• sayakpaul / Training-BatchNorm-and-Only-BatchNorm
  Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.
  ☆29Updated 4 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 4 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 4 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• LTS4 / hold-me-tight
  Source code of "Hold me tight! Influence of discriminative features on deep network boundaries"
  ☆22Updated 3 years ago
• wolfecameron / optimizers
  implements various optimizers from scratch for analysis and comparison
  ☆9Updated 5 years ago
• aakashrkaku / intermdiate_layer_matter_ssl
  The official repository for "Intermediate Layers Matter in Momentum Contrastive Self Supervised Learning" paper.
  ☆40Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• fabio-deep / ReZero-ResNet
  Unofficial pytorch implementation of ReZero in ResNet
  ☆23Updated 5 years ago
• singlasahil14 / barlow
  Code for the CVPR 2021 paper: Understanding Failures of Deep Networks via Robust Feature Extraction
  ☆36Updated 3 years ago
• ariG23498 / G-SimCLR
  This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip…
  ☆77Updated 3 years ago
• neilliang90 / Sadam
  ☆14Updated 5 years ago
• sayakpaul / NALU
  Neural Arithmetic Logic Units by Trask et al.
  ☆12Updated 6 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆19Updated 4 years ago
• amodas / PRIME-augmentations
  PRIME: A Few Primitives Can Boost Robustness to Common Corruptions
  ☆42Updated 2 years ago
• facebookresearch / grounding-inductive-biases
  reproduces experiments from "Grounding inductive biases in natural images: invariance stems from variations in data"
  ☆17Updated 8 months ago
• google-research / understanding-transfer-learning
  ☆45Updated 4 years ago
• Daniil-Selikhanovych / Shampoo_optimizer
  Our implementation of Shampoo optimizer based on https://arxiv.org/pdf/1802.09568.pdf
  ☆12Updated 5 years ago
• MadryLab / ImageNetMultiLabel
  Fine-grained ImageNet annotations
  ☆29Updated 5 years ago
• qithink / NeurIPS2021_Vision_Transformer_Paper_Collection
  NeurIPS2021: Vision Transformer Paper Collection
  ☆8Updated 3 years ago
• GoodAI / GTN
  (partial) replication of results from https://arxiv.org/abs/1912.07768
  ☆26Updated 5 years ago
• teddykoker / u-noise
  Official PyTorch code for U-Noise: Learnable Noise Masks for Interpretable Image Segmentation (ICIP 2021)
  ☆41Updated 3 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 6 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• HazyResearch / model-patching
  Model Patching: Closing the Subgroup Performance Gap with Data Augmentation
  ☆42Updated 4 years ago
• y0ast / pytorch-snippets
  Collection of snippets for PyTorch users
  ☆25Updated 3 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• tanchongmin / DropNet
  DropNet: Reducing Neural Network Complexity via Iterative Pruning (ICML 2020)
  ☆15Updated 4 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago