Alternatives and similar repositories for NeuralNetworkRandomness:

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

• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆15Updated 3 years ago
• BayesWatch / pytorch-blockswap
  Code for BlockSwap (ICLR 2020).
  ☆33Updated 3 years ago
• guoyongcs / NATv2
  Implementation for NATv2.
  ☆23Updated 4 years ago
• BayesWatch / deficient-efficient
  Successfully training approximations to full-rank matrices for efficiency in deep learning.
  ☆17Updated 4 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 5 years ago
• ChanganVR / ConstraintAwareCompression
  [ECCV18] Constraint-Aware Deep Neural Network Compression
  ☆12Updated 6 years ago
• biswajitsc / sparse-embed
  Code for paper 'Minimizing FLOPs to Learn Efficient Sparse Representations' published at ICLR 2020
  ☆20Updated 5 years ago
• kcyu2014 / multi-model-forgetting
  ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting
  ☆13Updated 5 years ago
• xternalz / SDPoint
  Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks
  ☆18Updated 5 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• LIJUNYI95 / SuperAdam
  Official Pytorch Implementation for the paper 'SUPER-ADAM: Faster and Universal Framework of Adaptive Gradients'
  ☆17Updated 3 years ago
• d2l-ai / d2l-book-colab
  Colab notebooks for d2l-book
  ☆11Updated 5 years ago
• apd10 / universal_memory_allocation
  ☆15Updated 2 years ago
• shashankkotyan / RobustArchitectureSearch
  This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks…
  ☆18Updated last year
• lucidrains / remixer-pytorch
  Implementation of the Remixer Block from the Remixer paper, in Pytorch
  ☆35Updated 3 years ago
• MadryLab / dataset-replication-analysis
  ☆25Updated 4 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆18Updated 4 years ago
• shinseung428 / image_control_TF
  ☆13Updated 7 years ago
• facebookresearch / image-to-set
  The project is about predicting sets (of classes) from images.
  ☆22Updated 3 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 5 years ago
• katelyn98 / CorruptionRobustness
  We investigated corruption robustness across different architectures including Convolutional Neural Networks, Vision Transformers, and th…
  ☆16Updated 3 years ago
• Kipok / understanding-momentum
  Code for the paper "Understanding the Role of Momentum in Stochastic Gradient Methods"
  ☆15Updated 5 years ago
• eladhoffer / norm_matters
  ☆23Updated 6 years ago
• rwightman / py-lmdb
  Universal Python binding for the LMDB 'Lightning' Database
  ☆13Updated 7 years ago
• gbup-group / EAN-efficient-attention-network
  The implementation of paper ''Efficient Attention Network: Accelerate Attention by Searching Where to Plug''.
  ☆20Updated last year
• cvjena / aid
  Automatic Query Image Disambiguation (AID)
  ☆11Updated 7 years ago
• SaynaEbrahimi / Minimax-Active-Learning
  Official implementation for "Minimax Active Learning" in PyTorch.
  ☆9Updated 4 years ago
• sbelharbi / learning-class-invariant-features
  Repository for the code of the paper "Neural Networks Regularization Through Class-wise Invariant Representation Learning".
  ☆12Updated 7 years ago
• layumi / ICME2022SS
  ICME2022 Special Session “Beyond Accuracy: Responsible, Responsive, and Robust Multimedia Retrieval ”
  ☆11Updated 9 months ago
• edwardjhu / improved_wasserstein
  Code for our ICLR Trustworthy ML 2020 workshop paper "Improved Image Wasserstein Attacks and Defenses"
  ☆14Updated 4 years ago