memorization VS hydra-zen

Compare memorization vs hydra-zen and see what are their differences.

memorization

Code for "On Memorization in Probabilistic Deep Generative Models" (by alan-turing-institute)
Deep Learning generative-model probabilistic-models Pytorch reproducible-research Reproducibility reproducible-science reproducible-paper memorization
Source Code
papers.nips.cc
Suggest alternative
Edit details

hydra-zen

Create powerful Hydra applications without the yaml files and boilerplate code. (by mit-ll-responsible-ai)
Configuration Machine Learning dataclasses dynamic-configuration yaml-configuration Pytorch pytorch-lightning Reproducibility reproducible-science Scalable Configurable Machinelearning Deep Learning
Source Code
mit-ll-responsible-ai.github.io
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
memorization hydra-zen
1 1
5 284
- 5.3%
10.0 9.4
over 2 years ago 4 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.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
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.

memorization

Posts with mentions or reviews of memorization. We have used some of these posts to build our list of alternatives and similar projects.
  • [D] DALL·E to be made available as API, OpenAI to give users full ownership rights to generated images
    1 project | /r/MachineLearning | 4 Nov 2022
    Codex is not technically copy pasting; it is generating a new output that is (almost) exactly the same, or indistinguishable on the eyes of a human, to the input. Sounds like semantics, but there is no actual copying. You already have music generating algorithms that can also generate short samples that are indistinguishable to the inputs (memorisation). Dall-E 2 is not there yet, but we are close to prompting "Original Mona Lisa painting" and be given back the original Mona Lisa painting with striking similarities. There are already several generative models of images that can mostly memorise inputs used to train it (quick example found using google: https://github.com/alan-turing-institute/memorization).

hydra-zen

Posts with mentions or reviews of hydra-zen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-02.

What are some alternatives?

When comparing memorization and hydra-zen you can also consider the following projects:

torch-fidelity - High-fidelity performance metrics for generative models in PyTorch

kubeproject - A set of tools built to simplify daily driving of cloud resources for individual VM access, Kubernetes batch jobs and miscellaneous useful functionality related to cloud-based ML research

wandb - 🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

traingenerator - 🧙 A web app to generate template code for machine learning

Sacred - Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

forward-forward-pytorch - Forward Forward algorithm (by Geoffrey Hinton) implemented with pytorch.

benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

minimal-ml-template - A very minimal ml project template that uses HF transformers and wandb to train a simple NN and evaluate it, in a stateless manner compatible with Spot instances kubernetes workflows

disentangling-vae - Experiments for understanding disentanglement in VAE latent representations

lightning-hydra-template - PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡

memorization vs torch-fidelity hydra-zen vs kubeproject memorization vs wandb hydra-zen vs traingenerator memorization vs Sacred hydra-zen vs forward-forward-pytorch memorization vs benchmark_VAE hydra-zen vs minimal-ml-template memorization vs disentangling-vae hydra-zen vs lightning-hydra-template