Alternatives and similar repositories for Joslim

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

• EkdeepSLubana / flowandprune
  Codebase for the paper "A Gradient Flow Framework for Analyzing Network Pruning"
  ☆21Updated 4 years ago
• selkerdawy / filter-vs-layer-pruning
  ☆10Updated 4 years ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• yellowtownhz / IE-KD
  ☆9Updated 3 years ago
• mary-phuong / multiexit-distillation
  ☆22Updated 5 years ago
• DequanWang / weightnet.pytorch
  WeightNet: Revisiting the Design Space of Weight Networks
  ☆19Updated 4 years ago
• chenbong / PSS-Net
  ☆17Updated 2 years ago
• lmbxmu / EPruner
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters
  ☆22Updated 4 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• lushleaf / Network-Pruning-Greedy-Forward-Selection
  Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
  ☆21Updated 4 years ago
• yuchaoli / CC
  Towards Compact CNNs via Collaborative Compression
  ☆11Updated 3 years ago
• yunhuiguo / CVPR-2021-L2ID-Classification-Challenges
  Learning from Limited and Imperfect Data (L2ID): Classification Challenges
  ☆18Updated 4 years ago
• tianyizhou / DoCL
  Paper and Code for "Curriculum Learning by Optimizing Learning Dynamics" (AISTATS 2021)
  ☆19Updated 3 years ago
• da2so / Zero-shot_Knowledge_Distillation_Pytorch
  ZSKD with PyTorch
  ☆31Updated last year
• lliai / Teacher-free-Distillation
  TF-FD
  ☆20Updated 2 years ago
• jh-jeong / selective-convolution
  Code for the paper "Training CNNs with Selective Allocation of Channels" (ICML 2019)
  ☆25Updated 6 years ago
• friendshipkim / neuron-merging
  Neuron Merging: Compensating for Pruned Neurons (NeurIPS 2020)
  ☆43Updated 4 years ago
• deeplearning-wisc / MOOD
  Code for CVPR2021 paper: MOOD: Multi-level Out-of-distribution Detection
  ☆38Updated last year
• SJLeo / FFSD
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2022 -- Distilling a Powerful Student Model via Online Knowledge Distillation
  ☆28Updated 3 years ago
• VITA-Group / SFW-Once-for-All-Pruning
  [ICLR 2022] "Learning Pruning-Friendly Networks via Frank-Wolfe: One-Shot, Any-Sparsity, and No Retraining" by Lu Miao*, Xiaolong Luo*, T…
  ☆30Updated 3 years ago
• xiusu / ViTAS
  Code for ViTAS_Vision Transformer Architecture Search
  ☆50Updated 3 years ago
• danczs / NetworkAdjustment
  ☆13Updated 3 years ago
• xuguodong03 / UNIXKD
  ☆27Updated 2 years ago
• kalviny / IMTA
  ☆48Updated 5 years ago
• VITA-Group / WeakNAS
  [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…
  ☆27Updated 2 years ago
• Piyush-555 / GaussianDistillation
  Data-free knowledge distillation using Gaussian noise (NeurIPS paper)
  ☆15Updated 2 years ago
• MingSun-Tse / Smile-Pruning
  A generic code base for neural network pruning, especially for pruning at initialization.
  ☆30Updated 2 years ago
• MAC-AutoML / OMPQ
  ☆25Updated 3 years ago
• EkdeepSLubana / BeyondBatchNorm
  Codebase for the paper "Beyond BatchNorm: Towards a Unified Understanding of Normalization in Deep Learning"
  ☆17Updated 3 years ago
• VITA-Group / Lifelong-Learning-LTH
  [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…
  ☆25Updated 3 years ago