torcheval VS ClusterConfig

Compare torcheval vs ClusterConfig 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)

ClusterConfig

Guide to deploying Slurm and OpenMPI on Raspberry Pi computers (by cameronbunce)
Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
InfluxDB - 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.
www.influxdata.com
featured
torcheval ClusterConfig
3 1
196 12
5.1% -
7.5 5.8
about 1 month ago about 2 months ago
Python Shell
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 :)

ClusterConfig

Posts with mentions or reviews of ClusterConfig. 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
    I’ve been working through that repo and managed the 13B dataset on a single Pi4 8gig

    I’ve also replicated the work in OpenMPI ( from a thread on the llama.cpp GitHub repo ) and today I managed to get the 65B dataset operational on three pi4 nodes.

    I’m not saying this as any achievement of mine, but as a comment on the current reality of reproducible LLM At home on anything you’ve got.

    It really feels like this technique has arrived.

    https://github.com/cameronbunce/ClusterConfig

What are some alternatives?

When comparing torcheval and ClusterConfig you can also consider the following projects:

tnt - A lightweight library for PyTorch training tools and utilities

llama2.cs - Inference Llama 2 in one file of pure C#

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

can-ai-code - Self-evaluating interview for AI coders

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

ollama - Get up and running with Llama 3, Mistral, Gemma, and other large language models.

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

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

stable-diffusion-webui - Stable Diffusion web UI

stable-diffusion - A latent text-to-image diffusion model

Scout Monitoring - Free Django app performance insights with Scout Monitoring
Get Scout setup in minutes, and let us sweat the small stuff. A couple lines in settings.py is all you need to start monitoring your apps. Sign up for our free tier today.
www.scoutapm.com
featured
InfluxDB - 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.
www.influxdata.com
featured