genome_integration VS enformer-pytorch

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

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. (by adriaan-vd-graaf)

enformer-pytorch

Implementation of Enformer, Deepmind's attention network for predicting gene expression, in Pytorch (by lucidrains)
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genome_integration enformer-pytorch
1 1
11 392
- -
0.0 5.7
almost 2 years ago about 1 month 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.

genome_integration

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

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

What are some alternatives?

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

causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.

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

CausalPy - A Python package for causal inference in quasi-experimental settings

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

awesome-causality-algorithms - An index of algorithms for learning causality with data

EQTransformer - EQTransformer, a python package for earthquake signal detection and phase picking using AI.

causalml - Uplift modeling and causal inference with machine learning algorithms

routing-transformer - Fully featured implementation of Routing Transformer

dowhy - DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

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

pgmpy - Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

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