delve VS only_train_once

Compare delve vs only_train_once and see what are their differences.

delve

PyTorch model training and layer saturation monitor (by delve-team)
Pytorch model-training training-monitor layer-saturation pruning Visualization neural-dynamics Deep Learning convolutional-neural-networks
Source Code
delve-docs.readthedocs.io
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only_train_once

OTOv1-v3, NeurIPS, ICLR, TMLR, DNN Training, Compression, Structured Pruning, Erasing Operators, CNN, Diffusion, LLM (by tianyic)
Pytorch Deep Learning model-compression sparse-optimization pruning Automl one-shot Training erasing-operators
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delve only_train_once
1 1
77 261
- -
4.0 8.9
about 1 year ago 28 days ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

delve

Posts with mentions or reviews of delve. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-28.

only_train_once

Posts with mentions or reviews of only_train_once. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing delve and only_train_once you can also consider the following projects:

cleverhans - An adversarial example library for constructing attacks, building defenses, and benchmarking both

archai - Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

pytea - PyTea: PyTorch Tensor shape error analyzer

Torch-Pruning - [CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs

explainerdashboard - Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

model-optimization - A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

TorchDrift - Drift Detection for your PyTorch Models

ds2 - Easiest way to use AI models without coding (Web UI & API support)

backpack - BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.

sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

WeightWatcher - The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]

delve vs cleverhans only_train_once vs archai delve vs pytea only_train_once vs Torch-Pruning delve vs explainerdashboard only_train_once vs model-optimization delve vs TorchDrift only_train_once vs ds2 delve vs backpack only_train_once vs sparseml delve vs WeightWatcher only_train_once vs Activeloop Hub