kiri

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models. (by kiri-ai)

Stats

Basic kiri repo stats
5
155
8.7
4 days ago

kiri-ai/kiri is an open source project licensed under GNU General Public License v3.0 or later which is an OSI approved license.

Kiri Alternatives

Similar projects and alternatives to kiri based on common topics and language

  • GitHub repo EfficientNet-PyTorch

    A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)

  • GitHub repo gpt-neo

    An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

  • GitHub repo CLIP

    Contrastive Language-Image Pretraining

  • GitHub repo haystack

    :mag: End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the State-of-the-Art of NLP. Supports DPR, Elasticsearch, HuggingFace’s Modelhub, and much more!

  • GitHub repo gpt-neox

    An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

  • GitHub repo lm-evaluation-harness

    A framework for few-shot evaluation of autoregressive language models.

  • GitHub repo haystack

    :mag: End-to-end Python framework for building natural language search interfaces to data. Leverages Transformers and the State-of-the-Art of NLP. Supports DPR, Elasticsearch, HuggingFace’s Modelhub, and much more!

NOTE: The number of mentions on this list indicates mentions on common posts. Hence, a higher number means a better kiri alternative or higher similarity.

Posts

Posts where kiri has been mentioned. We have used some of these posts to build our list of alternatives and similar projects - the last one was on 2021-03-22.
  • Show HN: Backprop – a simple library to use and finetune state-of-the-art models
    news.ycombinator.com | 2021-03-24
  • Show HN: Backprop – a library to easily finetune and use state-of-the-art models
    news.ycombinator.com | 2021-03-23
  • [P] Backprop: a library to easily finetune and use state-of-the-art models
    I'd like to share Backprop, a Python library I've been co-authoring for the last few months. Our goal is to make finetuning and using models as easy as possible, even without extensive ML experience.
  • GPT Neo: open-source GPT-3-like model with pretrained weights available
    news.ycombinator.com | 2021-03-21
    That would be one incredibly expensive Q&A system. As rightly suggested by others, some search + a finetuned Q&A system is what you need.

    I've been building a library that makes solving tasks like conversational Q&A easy.

    https://github.com/backprop-ai/backprop

    If you need some pointers, we have example notebooks and I'm happy to chat about it as well.

    news.ycombinator.com | 2021-03-21
    You might get some really promising results with finetuning.

    If anything, you could build writing assistance that almost automates responses.

    I've been co-authoring a library that lets you finetune such models in a single line of code.

    https://github.com/backprop-ai/backprop

    In specific the text generation finetuning example should be what you are looking for: https://github.com/backprop-ai/backprop/blob/main/examples/F...

    Hope this helps, happy to chat more about it. Pretty curious about the results.

  • NLP Model for extracting specific text from raw text
    Here's an example Jupyter Notebook for finetuning T5. Full disclosure, I work on this library myself -- but it could be helpful.
  • [D] Need help with document classifier and later prediction of text
    I'm working on a library that hopefully makes working with some of these a bit easier -- here's an example notebook for running text classification with the BART checkpoint, if you're interested. If you need more task-specific finetuning for text classification, that's going to be rolled out in the near future.
  • Generating notes from text
    I'm working on a library that includes a few different ML tasks, including summarisation. It uses a pretrained version of Google's T5 transformer model, which we host on Hugging Face with some details on how it was trained.
  • Kiri's demo of zero shot image classification using OpenAI's CLIP (Connecting Text and Images) neural network; you can supply your own image and labels
    Available here: https://github.com/kiri-ai/kiri