Alternatives and similar repositories for Heterogeneity_Hypothesis

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

• researchmm / NEAS
  ☆19Updated 4 years ago
• megvii-model / RLNAS
  ☆20Updated 2 years ago
• chenyaofo / CTNAS
  [CVPR 2021] Contrastive Neural Architecture Search with Neural Architecture Comparators
  ☆40Updated 3 years ago
• zzzxxxttt / pytorch_simple_DARTS
  A simple pytorch implementation of Differentiable Architecture Search (DARTS)
  ☆19Updated 5 years ago
• xiusu / ViTAS
  Code for ViTAS_Vision Transformer Architecture Search
  ☆50Updated 3 years ago
• sunsmarterjie / GOLD_NAS
  The implementation of GOLD_NAS
  ☆24Updated 3 months ago
• haolibai / APS-channel-search
  Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020
  ☆21Updated 4 years ago
• kalviny / IMTA
  ☆48Updated 5 years ago
• danczs / NetworkAdjustment
  ☆13Updated 3 years ago
• researchmm / CyDAS
  Cyclic Differentiable Architecture Search
  ☆36Updated 3 years ago
• guyuchao / DOTS
  The official implementation of "DOTS: Decoupling Operation and Topology in Differentiable Architecture Search"
  ☆20Updated 4 years ago
• eric8607242 / SGNAS
  [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator
  ☆38Updated 3 years ago
• xiezheng-cs / DTQ
  PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)
  ☆18Updated 2 years ago
• iboing / ISTA-NAS
  released code for the paper: ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding
  ☆31Updated 4 years ago
• chenbong / PSS-Net
  ☆17Updated 2 years ago
• facebookresearch / NASViT
  code for NASViT
  ☆67Updated 3 years ago
• csyhhu / MetaQuant
  Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019
  ☆54Updated 5 years ago
• ofsoundof / random_channel_pruning
  ☆17Updated 3 years ago
• ofsoundof / group_sparsity
  Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.
  ☆64Updated 3 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
• VITA-Group / CV_LTH_Pre-training
  [CVPR 2021] "The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models" Tianlong Chen, Jon…
  ☆69Updated 2 years ago
• yilunliao / vit-search
  Code for "Searching for Efficient Multi-Stage Vision Transformers"
  ☆63Updated 3 years ago
• gistvision / bnas
  Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)
  ☆26Updated 4 years ago
• EthanZhangYC / OD-cheap-convolution
  PyTorch implementation for OD-cheap-convolution.
  ☆20Updated 5 years ago
• megvii-model / AngleNAS
  ☆54Updated 4 years ago
• lmbxmu / FilterSketch
  Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning
  ☆53Updated 4 years ago
• VITA-Group / SViTE
  [NeurIPS'21] "Chasing Sparsity in Vision Transformers: An End-to-End Exploration" by Tianlong Chen, Yu Cheng, Zhe Gan, Lu Yuan, Lei Zhang…
  ☆89Updated last year
• Ernie1 / Pi-NAS
  Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift (ICCV 2021)
  ☆19Updated 3 years ago
• xiusu / NAS-Bench-Macro
  NAS Benchmark in "Prioritized Architecture Sampling with Monto-Carlo Tree Search", CVPR2021
  ☆37Updated 3 years ago
• VDIGPKU / OPANAS
  [CVPR 2021]OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection
  ☆45Updated last year