torcheval VS stable-diffusion

Compare torcheval vs stable-diffusion and see what are their differences.

torcheval

A library that contains a rich collection of performant PyTorch model metrics, a simple interface to create new metrics, a toolkit to facilitate metric computation in distributed training and tools for PyTorch model evaluations. (by pytorch)
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torcheval stable-diffusion
3 383
196 66,213
5.1% 1.2%
7.5 0.0
about 1 month ago about 1 month ago
Python Jupyter Notebook
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
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.

torcheval

Posts with mentions or reviews of torcheval. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-08-15.
  • How Is LLaMa.cpp Possible?
    11 projects | news.ycombinator.com | 15 Aug 2023
    Reading this could make people believe it is computed from the probability distribution of the model alone.

    To be clearer, it is the exponent of the average negative log probability that the model gives to the real tokens of a sample text[0]. Roughly, it relates to how strongly the model can predict the sample text. A perfect model would have zero perplexity; a random model has a perplexity equal to the number of possible tokens; the worst model has infinite perplexity.

    [0]: https://github.com/pytorch/torcheval/blob/3faf19c060b8a7c074...

  • What skills are necessary to understand/be able to make meaningful contributions to PyTorch?
    2 projects | /r/pytorch | 4 Jan 2023
    Shameless plug, my team works on torcheval and torchtnt. Neither of them are core pytorch, but if you're looking to help build out tooling for metric evaluation or training frameworks, both libraries are pretty new with very low hanging fruit.
  • [D] AMA: The Stability AI Team
    6 projects | /r/MachineLearning | 15 Nov 2022
    Hey I work on TorchEval let us know if we can be of any help here :)

stable-diffusion

Posts with mentions or reviews of stable-diffusion. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-08.

What are some alternatives?

When comparing torcheval and stable-diffusion you can also consider the following projects:

tnt - A lightweight library for PyTorch training tools and utilities

GFPGAN - GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

llama.cpp - LLM inference in C/C++

Real-ESRGAN - Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

polyglot - Polyglot: Large Language Models of Well-balanced Competence in Multi-languages

diffusers-uncensored - Uncensored fork of diffusers

ggllm.cpp - Falcon LLM ggml framework with CPU and GPU support

diffusers - 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

bitsandbytes - Accessible large language models via k-bit quantization for PyTorch.

VQGAN-CLIP - Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.

stable-diffusion-webui - Stable Diffusion web UI

onnx - Open standard for machine learning interoperability

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