enformer-pytorch VS EQTransformer

Compare enformer-pytorch vs EQTransformer and see what are their differences.

enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch (by lucidrains)
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enformer-pytorch EQTransformer
1 1
392 287
- -
5.7 3.2
about 2 months ago 9 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.
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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.

enformer-pytorch

Posts with mentions or reviews of enformer-pytorch. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-25.
  • [D] Is anyone working on open-sourcing Dall-E 2?
    5 projects | /r/MachineLearning | 25 Apr 2022
    thanks for the kind words, and also, great idea :) recently had the pleasure of collaborating with one of their engineers to get a genetics transformer open sourced and hosted on their hub https://github.com/lucidrains/enformer-pytorch hopefully we get to collaborate again in the future

EQTransformer

Posts with mentions or reviews of EQTransformer. We have used some of these posts to build our list of alternatives and similar projects.
  • An Unethical Question
    1 project | /r/geophysics | 29 Jan 2021
    Here is a specific idea that would be interesting to test. SCITS released a ML P&S picker that supposedly is pretty good. They put the code on github (https://github.com/smousavi05/EQTransformer). I think a really easy idea would be to put it to the test against USGS picks in different areas. You can get IRIS data and run this in a different area that doesn't normally get much attention and see how it compares to the published catalog. Software like this always makes bold claims, so it would be nice to have independent, verified tests of it. You would just need to download the package (it's already on pypi so you can pip it), learn how to run it, and test against some real data. Would make for a decent paper actually.

What are some alternatives?

When comparing enformer-pytorch and EQTransformer you can also consider the following projects:

latent-diffusion - High-Resolution Image Synthesis with Latent Diffusion Models

PCGrad - Code for "Gradient Surgery for Multi-Task Learning"

DALLE2-pytorch - Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

paraphraser - Sentence paraphrase generation at the sentence level

routing-transformer - Fully featured implementation of Routing Transformer

Perceiver - Implementation of Perceiver, General Perception with Iterative Attention in TensorFlow

conformer - Implementation of the convolutional module from the Conformer paper, for use in Transformers

x-transformers - A simple but complete full-attention transformer with a set of promising experimental features from various papers

dalle-mini - DALLĀ·E Mini - Generate images from a text prompt

RWKV-LM - RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

genome_integration - MR-link and genome integration. genome_integration is a repository for the analysis of genomic data. Specifically, the repository implements the causal inference method MR-link, as well as other Mendelian randomization methods.

v-diffusion-jax - v objective diffusion inference code for JAX.