Alternatives and similar repositories for delve

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

• RuiShu / tensorsketch
  A lightweight library for tensorflow 2.0
  ☆65Updated 6 years ago
• theblackcat102 / H5Record
  Large dataset storage format for Pytorch
  ☆45Updated 4 years ago
• negrinho / deep_architect
  A general, modular, and programmable architecture search framework
  ☆123Updated 2 years ago
• Vermeille / Torchelie
  Torchélie is a set of utility functions, layers, losses, models, trainers and other things for PyTorch.
  ☆110Updated last week
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 6 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 4 years ago
• lnsmith54 / BOSS
  This repository provides the code for replicating the experiments in the paper "Building One-Shot Semi-supervised (BOSS) Learning up to F…
  ☆36Updated 5 years ago
• AakashKumarNain / AugMix_TF2
  TF2.0 port for Augmix paper
  ☆79Updated 5 years ago
• beresandras / buggy-resizing-critique
  A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.
  ☆72Updated 3 years ago
• yk / PyTorch_CIFAR10
  Pretrained TorchVision models on CIFAR10 dataset (with weights)
  ☆24Updated 5 years ago
• npielawski / pytorch_tiramisu
  A regular Tiramisu network for PyTorch with a LOT of extra features!
  ☆42Updated 4 years ago
• universome / loss-patterns
  Loss Patterns of Neural Networks
  ☆86Updated 4 years ago
• sicara / gpumonitor
  TF 2.x and PyTorch Lightning Callbacks for GPU monitoring
  ☆92Updated 5 years ago
• nathanhubens / fasterai1
  FasterAI: A repository for making smaller and faster models with the FastAI library.
  ☆35Updated last year
• Randl / kmeans_selfsuper
  ☆55Updated 4 years ago
• cybertronai / imagenet18
  Train ImageNet in 18 minutes on AWS
  ☆134Updated last year
• podgorskiy / DareBlopy
  Data Reading Blocks for Python
  ☆104Updated 5 years ago
• facebookresearch / enorm
  Equi-normalization of Neural Networks
  ☆116Updated 6 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• moskomule / shampoo.pytorch
  An implementation of shampoo
  ☆78Updated 7 years ago
• sayakpaul / Adaptive-Gradient-Clipping
  Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.
  ☆85Updated 4 years ago
• catalyst-team / segmentation
  Catalyst.Segmentation
  ☆28Updated 4 years ago
• catalyst-team / alchemy
  Experiments logging & visualization
  ☆50Updated 4 years ago
• LGE-ARC-AdvancedAI / auptimizer
  An automatic ML model optimization tool.
  ☆199Updated 2 years ago
• fabio-deep / ReZero-ResNet
  Unofficial pytorch implementation of ReZero in ResNet
  ☆24Updated 5 years ago
• ducha-aiki / LSUV-pytorch
  Simple implementation of the LSUV initialization in PyTorch
  ☆58Updated last year
• shivram1987 / diffGrad
  diffGrad: An Optimization Method for Convolutional Neural Networks
  ☆55Updated 3 years ago
• JoshVarty / SelfSupervisedLearning
  Experiments with self-supervised learning
  ☆11Updated 5 years ago
• jotaf98 / overboard
  Pure Python dashboard for monitoring deep learning experiments (like TensorBoard for PyTorch/JAX/etc, without a browser)
  ☆95Updated 3 years ago
• ZFTurbo / Keras-augmentation-layer
  Keras implementation of layer which performs augmentations of images using GPU.
  ☆49Updated 4 years ago