Software Alternatives, Accelerators & Startups

DepHell VS Facebook.ai

Compare DepHell VS Facebook.ai and see what are their differences

DepHell logo DepHell

:package: :fire: Python project management. Manage packages: convert between formats, lock, install, resolve, isolate, test, build graph, show outdated, audit. Manage venvs, build package, bump ver...

Facebook.ai logo Facebook.ai

Everything you need to take AI from research to production
  • DepHell Landing page
    Landing page //
    2023-08-28
  • Facebook.ai Landing page
    Landing page //
    2023-05-09

Category Popularity

0-100% (relative to DepHell and Facebook.ai)
Workflow Automation
100 100%
0% 0
AI
0 0%
100% 100
DevOps Tools
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

Share your experience with using DepHell and Facebook.ai. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, DepHell should be more popular than Facebook.ai. It has been mentiond 4 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

DepHell mentions (4)

  • How to generate setup.py from pyproject.toml
    I've found https://github.com/dephell/dephell but seems to be outdated. Source: over 1 year ago
  • Should i Continue this Project or Abandon it? ; https://github.com/iamDyeus/KnickAI
    I had a few relatively famous projects (like dephell), and at some point I lost my sleep because I was "fixing bugs" in it in my head in the middle of the night. Archiving it, closing issues in everything else, and starting to just write projects for my own fun only was the best decision I ever made. Don't make my mistakes. Don't ask random people on the internet what you should do. Do what you want to do and... Source: almost 2 years ago
  • PDM: A Modern Python Package Manager
    You jest and yet... https://github.com/dephell/dephell Dephell is a converter for python packaging systems. It can turn poetry files into requirements.txt, or setuptools' setup.py into pipenv's Pipfile etc. Python Packaging: There is More Than One Way to Do It. - Source: Hacker News / over 2 years ago
  • [D] What’s the simplest, most lightweight but complete and 100% open source MLOps toolkit? -> MY OWN CONCLUSIONS
    Not necessarily. You can use Dephell (https://github.com/dephell/dephell) to convert from poetry to the old-fashioned requirements.txt. Source: about 3 years ago

Facebook.ai mentions (2)

  • 13B LLaMA Alpaca LoRAs Available on Hugging Face
    Many settings affect the outputs in interesting ways, but that's half the fun. These LoRAs are very lightly trained; more training may or may not help. The competitions are also performed using zero-shot text guessing, and if Facebook said it, you can bet that's actually Meta AI saying it, and they are leaders in the field. Source: about 1 year ago
  • [D] Current trends in computer vision related to unsupervised learning
    You should look at the entire niche of MAE-related papers, that's quite exciting, and the neuroscience-inspired stream of stuff like Barlow Twins. As well, the official Facebook AI blog is surprisingly good coverage of much of the interesting un/semi-supervised DL research FAIR does, and worth going through. Source: almost 2 years ago

What are some alternatives?

When comparing DepHell and Facebook.ai, you can also consider the following products

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.

Lobe - Visual tool for building custom deep learning models

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

A.I. Experiments by Google - Explore machine learning by playing w/ pics, music, and more

Kazuhm - Manage your containerized workloads through Kazuhm's easy to use distributed computing technology. Kazuhm saves cloud costs, improves security and latency.

Deep Learning Gallery - A curated list of awesome deep learning projects