stat4701 VS hate-speech-project

Compare stat4701 vs hate-speech-project and see what are their differences.

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stat4701 hate-speech-project
1 1
2 6
- -
10.0 10.0
about 9 years ago over 1 year ago
R Python
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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.

stat4701

Posts with mentions or reviews of stat4701. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.
  • Replit's new Code LLM was trained in 1 week
    12 projects | news.ycombinator.com | 3 May 2023
    My favorite line from the HumanEval paper

    > It is important for these tasks to be hand-written, since our models are trained on a large fraction of GitHub, which already contains solutions to problems from a variety of sources.

    So to answer your question, yes, the evaluation dataset is spoiled. You can find such unique and never before seen docstrings like

    > For a given list of input numbers calculate the Mean Absolute Deviation around the mean of this dataset. Mean Absolute Deviation is the absolute difference between each element and a centerpoint (mean in this case)[0]

    And here's a repo I found that is 8 years old[1]. But how about a more recent one that is even closer?[2] There's plenty more examples[3] (does anyone know how actually limit the date to prior to 2021? `pushed:<2021` doesn't work nor does using the `created` keyword. Date searching doesn't seem to work well).

    [0] https://github.com/openai/code-align-evals-data/blob/97446d9...

    [1] https://github.com/bertomartin/stat4701/blob/ec2b64f629cbbf6...

    [2] https://github.com/danielwatson6/hate-speech-project/blob/64...

    [3] https://github.com/search?q=abs%28x+-+mean%29+for+language%3...

hate-speech-project

Posts with mentions or reviews of hate-speech-project. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-03.
  • Replit's new Code LLM was trained in 1 week
    12 projects | news.ycombinator.com | 3 May 2023
    My favorite line from the HumanEval paper

    > It is important for these tasks to be hand-written, since our models are trained on a large fraction of GitHub, which already contains solutions to problems from a variety of sources.

    So to answer your question, yes, the evaluation dataset is spoiled. You can find such unique and never before seen docstrings like

    > For a given list of input numbers calculate the Mean Absolute Deviation around the mean of this dataset. Mean Absolute Deviation is the absolute difference between each element and a centerpoint (mean in this case)[0]

    And here's a repo I found that is 8 years old[1]. But how about a more recent one that is even closer?[2] There's plenty more examples[3] (does anyone know how actually limit the date to prior to 2021? `pushed:<2021` doesn't work nor does using the `created` keyword. Date searching doesn't seem to work well).

    [0] https://github.com/openai/code-align-evals-data/blob/97446d9...

    [1] https://github.com/bertomartin/stat4701/blob/ec2b64f629cbbf6...

    [2] https://github.com/danielwatson6/hate-speech-project/blob/64...

    [3] https://github.com/search?q=abs%28x+-+mean%29+for+language%3...

What are some alternatives?

When comparing stat4701 and hate-speech-project you can also consider the following projects:

IF

code-align-evals-data

ReplitLM - Inference code and configs for the ReplitLM model family

trax - Trax — Deep Learning with Clear Code and Speed

mation-spec

text-generation-webui - A Gradio web UI for Large Language Models. Supports transformers, GPTQ, AWQ, EXL2, llama.cpp (GGUF), Llama models.