Alternatives and similar repositories for AutoLossRelease

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

• XinbangZhang / DATA-NAS
  Codes for DATA: Differentiable ArchiTecture Approximation.
  ☆11Updated 3 years ago
• guoyongcs / CNAS
  Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
  ☆16Updated 10 months ago
• TomVeniat / bsn
  Implementation of the Budgeted Super Networks
  ☆25Updated 6 years ago
• Caoang327 / vis_det
  Code of "Visualizing and Understanding Object Detecor"
  ☆20Updated 3 years ago
• TheShadow29 / visual-commonsense-pytorch
  For visual commonsense model
  ☆34Updated 6 years ago
• olivesgatech / TA3N
  [ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
  ☆45Updated 6 months ago
• xjtushujun / Meta-weight-net_class-imbalance
  NeurIPS'19: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting (Pytorch implementation for class imbalance).
  ☆33Updated 5 years ago
• jwyang / C3Net.pytorch
  Pytorch code for our NeurIPS 2019 paper "Cross-channel Communication Networks"
  ☆41Updated 5 years ago
• Confusezius / CVPR2020_PADS
  (CVPR 2020) This repo contains code for "PADS: Policy-Adapted Sampling for Visual Similarity Learning", which proposes learnable triplet …
  ☆61Updated 4 years ago
• rmlin / CoMHE
  Implementation for <Regularizing Neural Networks via Minimizing Hyperspherical Energy> in CVPR'20.
  ☆24Updated 4 years ago
• joe-siyuan-qiao / NeuralRejuvenation-CVPR19
  Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19
  ☆48Updated 5 years ago
• yyuanad / MAAN
  Code for the paper "Marginalized Average Attentional Network for Weakly-Supervised Learning" (ICLR 2019)
  ☆34Updated 6 years ago
• ceyzaguirre4 / DACT-MAC
  Repository for hosting the code for the CVPR 2020 paper Differentiable Adaptive Computation Time for Visual Reasoning.
  ☆14Updated 4 years ago
• ceciliaresearch / four_things_batch_norm
  ☆20Updated 5 years ago
• ramakanth-pasunuru / CAS-MAS
  Code for paper "Continual and Multi-Task Architecture Search (ACL 2019)"
  ☆41Updated 5 years ago
• alexsax / taskonomy-sample-model-1
  Model, selected at random, from the training set of the paper "Taskonomy: Disentangling Task Transfer Learning"
  ☆50Updated 6 years ago
• jz462 / ContrastiveLosses4VRD
  Implementation for the CVPR2019 paper "Graphical Contrastive Losses for Scene Graph Parsing"
  ☆12Updated 5 years ago
• VITA-Group / CV_A-FAN
  [TMLR] "Adversarial Feature Augmentation and Normalization for Visual Recognition", Tianlong Chen, Yu Cheng, Zhe Gan, Jianfeng Wang, Liju…
  ☆20Updated 2 years ago
• yikang-li / vg_cleansing
  dataset cleansing for Visual Genome
  ☆30Updated 8 years ago
• princeton-vl / selfstudy
  Code for reproducing experiments in "How Useful is Self-Supervised Pretraining for Visual Tasks?"
  ☆60Updated 10 months ago
• lichengunc / mteqa
  Multi-Target Embodied Question Answering
  ☆11Updated 6 years ago
• bigaidream-projects / role-kd
  Role-Wise Data Augmentation for Knowledge Distillation
  ☆19Updated 2 years ago
• ruotianluo / rtutils
  ☆17Updated last year
• Shengcao-Cao / ESNAC
  Learnable Embedding Space for Efficient Neural Architecture Compression
  ☆29Updated 6 years ago
• caiqi / Joint-Contrastive-Learning
  ☆42Updated 4 years ago
• Zhaoxiangyun / Multi-Task-Modulation-Module
  Code release for paper "A Modulation Module for Multi-task Learning with Applications in Image Retrieval"
  ☆32Updated 6 years ago
• wanggrun / TreeConv
  This is a re-implementation of our KDD 2020 paper "Grammatically Recognizing Images with Tree Convolution."
  ☆13Updated 4 years ago
• ashaw596 / meta_architecture_search
  ☆21Updated 5 years ago
• B1ueber2y / NDiv
  Implementation of "Normalized Diversification (NDiv)" in Pytorch and Tensorflow.
  ☆10Updated last year
• SHTUPLUS / ContextLab
  ContextLab: A Toolbox for Context Feature Augmentation developed with PyTorch
  ☆39Updated 5 years ago