Memorization Alternatives

Similar projects and alternatives to memorization

hydra-zen

1 281 9.4 Python memorization VS hydra-zen

Create powerful Hydra applications without the yaml files and boilerplate code.
torch-fidelity

3 870 8.1 Python memorization VS torch-fidelity

High-fidelity performance metrics for generative models in PyTorch
InfluxDB

www.influxdata.com sponsored

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.
wandb

16 8,190 9.8 Python memorization VS wandb

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

6 4,157 3.5 Python memorization VS Sacred

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

4 1,680 6.1 Python memorization VS benchmark_VAE

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

1 753 0.0 Python memorization VS disentangling-vae

Experiments for understanding disentanglement in VAE latent representations
PyTorch-VAE

5 5,989 0.0 Python memorization VS PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.
WorkOS

workos.com sponsored

The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a better memorization alternative or higher similarity.

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memorization reviews and mentions

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).