Alternatives and similar repositories for Fast-ImageNet-Dataloader

Users that are interested in Fast-ImageNet-Dataloader are comparing it to the libraries listed below

• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• joe-siyuan-qiao / NeuralRejuvenation-CVPR19
  Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19
  ☆48Updated 6 years ago
• ppwwyyxx / FRN-on-common-ImageNet-baseline
  Filter Response Normalization tested on better ImageNet baselines.
  ☆35Updated 5 years ago
• wenwei202 / autogrow
  AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)
  ☆40Updated 6 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 4 years ago
• AnjieCheng / InstaNAS
  [AAAI'20][ICML'19 AutoML] This repository is the implementation of "InstaNAS: Instance-aware Neural Architecture Search"
  ☆93Updated 4 years ago
• lottery-ticket / rewinding-iclr20-public
  ☆70Updated 5 years ago
• facebookresearch / unnas
  Code for "Are labels necessary for neural architecture search"
  ☆92Updated last year
• NVlabs / unas
  Official implementation of "UNAS: Differentiable Architecture Search Meets Reinforcement Learning", CVPR 2020 Oral
  ☆61Updated last year
• znxlwm / pytorch-apex-experiment
  Simple experiment of Apex (A PyTorch Extension)
  ☆47Updated 5 years ago
• yuhuixu1993 / Trained-Rank-Pruning
  Pytorch implementation of TRP
  ☆45Updated 4 years ago
• zhaohui-yang / LegoNet
  A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
  ☆140Updated 4 years ago
• GATECH-EIC / E2Train
  [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy
  ☆21Updated 5 years ago
• jiweeo / pytorch-stochastic-depth
  PyTorch Implementation of 'Deep Networks with Stochastic Depth'
  ☆28Updated 6 years ago
• fabio-deep / ReZero-ResNet
  Unofficial pytorch implementation of ReZero in ResNet
  ☆24Updated 5 years ago
• hukkai / rescaling
  [NeurIPS 2020 Oral] Is normalization indispensable for training deep neural networks?
  ☆34Updated 3 years ago
• toiaydcdyywlhzvlob / backpack
  This repository is no longer maintained. Check
  ☆81Updated 5 years ago
• kcyu2014 / eval-nas
  PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020
  ☆49Updated 5 years ago
• human-analysis / pytorchnet
  Generalized Framework for PyTorch
  ☆32Updated 3 years ago
• alecwangcq / EigenDamage-Pytorch
  Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934
  ☆113Updated 5 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 6 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆126Updated 6 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• uclaml / Padam
  Partially Adaptive Momentum Estimation method in the paper "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep …
  ☆39Updated 2 years ago
• sebastiani / pytorch-attention-augmented-convolution
  A pytorch implementation of https://arxiv.org/abs/1904.09925
  ☆16Updated 6 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• Healbadbad / curveball-pytorch
  An Implementation of "Small steps and giant leaps: Minimal Newton solvers for Deep Learning" In pytorch
  ☆21Updated 7 years ago
• shuyao95 / Understanding-NAS
  Codes for Understanding Architectures Learnt by Cell-based Neural Architecture Search
  ☆27Updated 5 years ago
• xiaomi-automl / MixPath
  MixPath: A Unified Approach for One-shot Neural Architecture Search
  ☆29Updated 5 years ago
• hongyi-zhang / Fixup
  A Re-implementation of Fixed-update Initialization
  ☆155Updated 6 years ago