huggingface

Open-source projects categorized as huggingface
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Top 23 huggingface Open-Source Projects

  • MindsDB

    The platform for customizing AI from enterprise data

    • Project mention: Whatโ€™s the Difference Between Fine-tuning, Retraining, and RAG? | dev.to | 2024-04-08

    Check us out on GitHub.

  • speechbrain

    A PyTorch-based Speech Toolkit

    • Project mention: SpeechBrain 1.0: A free and open-source AI toolkit for all things speech | news.ycombinator.com | 2024-02-28

  • 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.

    InfluxDB logo

  • ai

    Build AI-powered applications with React, Svelte, Vue, and Solid

    • Project mention: Building a SQL Expert Bot: A Step-by-Step Guide with Vercel AI SDK and OpenAI API | dev.to | 2024-03-05

    The Vercel AI SDK is built for OpenAI APIs and includes a range of tools for utilizing OpenAI APIs.

  • chat-ui

    Open source codebase powering the HuggingChat app

    • Project mention: Zephyr 141B, a Mixtral 8x22B fine-tune, is now available in Hugging Chat | news.ycombinator.com | 2024-04-12

    Zephyr 141B is a Mixtral 8x22B fine-tune. Here are some interesting details

    - Base model: Mixtral 8x22B, 8 experts, 141B total params, 35B activated params

    - Fine-tuned with ORPO, a new alignment algorithm with no SFT step (hence much faster than DPO/PPO)

    - Trained with 7K open data instances -> high-quality, synthetic, multi-turn

    - Apache 2

    Everything is open:

    - Final Model: https://huggingface.co/HuggingFaceH4/zephyr-orpo-141b-A35b-v...

    - Base Model: https://huggingface.co/mistral-community/Mixtral-8x22B-v0.1

    - Fine-tune data: https://huggingface.co/datasets/argilla/distilabel-capybara-...

    - Recipe/code to train the model: https://huggingface.co/datasets/argilla/distilabel-capybara-...

    - Open-source inference engine: https://github.com/huggingface/text-generation-inference

    - Open-source UI code https://github.com/huggingface/chat-ui

    Have fun!

  • Baichuan-7B

    A large-scale 7B pretraining language model developed by BaiChuan-Inc.

    • Project mention: Baichuan 7B reaches top of LLM leaderboard for it's size (New foundation model 4K tokens) | /r/LocalLLaMA | 2023-06-17

    GitHub: baichuan-inc/baichuan-7B: A large-scale 7B pretraining language model developed by BaiChuan-Inc. (github.com)

  • skorch

    A scikit-learn compatible neural network library that wraps PyTorch

  • stable-diffusion-videos

    Create ๐Ÿ”ฅ videos with Stable Diffusion by exploring the latent space and morphing between text prompts

    • Project mention: How to create it? | /r/ChatGPT | 2023-06-01

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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  • Baichuan2

    A series of large language models developed by Baichuan Intelligent Technology

    • Project mention: Baichuan 2 | news.ycombinator.com | 2023-10-12

  • sahi

    Framework agnostic sliced/tiled inference + interactive ui + error analysis plots

    • Project mention: How to Detect Small Objects | dev.to | 2024-04-22

    An alternative to this is to leverage existing object detection, apply the model to patches or slices of fixed size in our image, and then stitch the results together. This is the idea behind Slicing-Aided Hyper Inference!

  • lmql

    A language for constraint-guided and efficient LLM programming.

    • Project mention: Show HN: Fructose, LLM calls as strongly typed functions | news.ycombinator.com | 2024-03-06

  • Baichuan-13B

    A 13B large language model developed by Baichuan Intelligent Technology

    • Project mention: Baichuan IA de China | /r/techieHugui | 2023-07-22

  • evadb

    Database system for AI-powered apps

    • Project mention: Show HN: Stargazers Reloaded โ€“ LLM-Powered Analyses of Your GitHub Community | news.ycombinator.com | 2023-09-30

    Hey friends!

    We have built an app for getting insights about your favorite GitHub community using large language models.

    The app uses LLMs to analyze the GitHub profiles of users who have starred the repository, capturing key details like the topics they are interested in. It takes screenshots of the stargazer's GitHub webpage, extracts text using an OCR model, and extracts insights embedded in the extracted text using LLMs.

    This app is inspired by the โ€œoriginalโ€ Stargazers app written by Spencer Kimball (CEO of CockroachDB). While the original app exclusively used the GitHub API, this LLM-powered app built using EvaDB additionally extracts insights from unstructured data obtained from the stargazersโ€™ webpages.

    Our analysis of the fast-growing GPT4All community showed that the majority of the stargazers are proficient in Python and JavaScript, and 43% of them are interested in Web Development. Web developers love open-source LLMs!

    We found that directly using GPT-4 to generate the โ€œgoldenโ€ table is super expensive โ€” costing $60 to process the information of 1000 stargazers. To maintain accuracy while also reducing cost, we set up an LLM model cascade in a SQL query, running GPT-3.5 before GPT-4, that lowers the cost to $5.5 for analyzing 1000 GitHub stargazers.

    Weโ€™ve been working on this app for a month now and are excited to open source it today :)

    Some useful links:

    * Blog Post - https://medium.com/evadb-blog/stargazers-reloaded-llm-powere...

    * GitHub Repository - https://github.com/pchunduri6/stargazers-reloaded/

    * EvaDB - https://github.com/georgia-tech-db/evadb

    Please let us know what you think!

  • LakeSoul

    LakeSoul is an end-to-end, realtime and cloud native Lakehouse framework with fast data ingestion, concurrent update and incremental data analytics on cloud storages for both BI and AI applications.

  • hands-on-llms

    ๐Ÿฆ– ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป about ๐—Ÿ๐—Ÿ๐— ๐˜€, ๐—Ÿ๐—Ÿ๐— ๐—ข๐—ฝ๐˜€, and ๐˜ƒ๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐——๐—•๐˜€ for free by designing, training, and deploying a real-time financial advisor LLM system ~ ๐˜ด๐˜ฐ๐˜ถ๐˜ณ๐˜ค๐˜ฆ ๐˜ค๐˜ฐ๐˜ฅ๐˜ฆ + ๐˜ท๐˜ช๐˜ฅ๐˜ฆ๐˜ฐ & ๐˜ณ๐˜ฆ๐˜ข๐˜ฅ๐˜ช๐˜ฏ๐˜จ ๐˜ฎ๐˜ข๐˜ต๐˜ฆ๐˜ณ๐˜ช๐˜ข๐˜ญ๐˜ด

    • Project mention: Where to start | /r/mlops | 2023-09-13

    There are 3 courses that I usually recommend to folks looking to get into MLE/MLOps that already have a technical background. The first is a higher-level look at the MLOps processes, common challenges and solutions, and other important project considerations. It's one of Andrew Ng's courses from Deep Learning AI but you can audit it for free if you don't need the certificate: - Machine Learning in Production For a more hands-on, in-depth tutorial, I'd recommend this course from NYU (free on GitHub), including slides, scripts, full-code homework: - Machine Learning Systems And the title basically says it all, but this is also a really good one: - Hands-on Train and Deploy ML Pau Labarta, who made that last course, actually has a series of good (free) hands-on courses on GitHub. If you're interested in getting started with LLMs (since every company in the world seems to be clamoring for them right now), this course just came out from Pau and Paul Iusztin: - Hands-on LLMs For LLMs I also like this DLAI course (that includes Prompt Engineering too): - Generative AI with LLMs It can also be helpful to start learning how to use MLOps tools and platforms. I'll suggest Comet because I work there and am most familiar with it (and also because it's a great tool). Cloud and DevOps skills are also helpful. Make sure you're comfortable with git. Make sure you're learning how to actually deploy your projects. Good luck! :)

  • casibase

    โšก๏ธOpen-source AI LangChain-like RAG (Retrieval-Augmented Generation) knowledge database with web UI and Enterprise SSOโšก๏ธ, supports OpenAI, Azure, LLaMA, Google Gemini, HuggingFace, Claude, Grok, etc., chat bot demo: https://demo.casibase.com, admin UI demo: https://demo-admin.casibase.com

    • Project mention: Open-source AI knowledge database with web UI and Enterprise SSO | news.ycombinator.com | 2023-12-21

  • sagemaker-python-sdk

    A library for training and deploying machine learning models on Amazon SageMaker

  • text-embeddings-inference

    A blazing fast inference solution for text embeddings models

    • Project mention: HuggingFace text-generation-inference is reverting to Apache 2.0 License | news.ycombinator.com | 2024-04-08

    Worth noting that this also impacts the great https://github.com/huggingface/text-embeddings-inference, which allows anyone to run state of the art embeddings with great performance.

  • mPLUG-Owl

    mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model

    • Project mention: Unleash the Power of Video-LLaMA: Revolutionizing Language Models with Video and Audio Understanding! | dev.to | 2023-06-12

    We extend our deepest gratitude to the extraordinary projects that have influenced and contributed to the development of Video-LLaMA. We're indebted to MiniGPT-4, FastChat, BLIP-2, EVA-CLIP, ImageBind, LLaMA, VideoChat, LLaVA, WebVid, and mPLUG-Owl for their invaluable contributions. Special thanks to Midjourney for creating the stunning Video-LLaMA logo, encapsulating the essence of our groundbreaking project.

  • chronos-forecasting

    Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

    • Project mention: Financial Market Applications of LLMs | news.ycombinator.com | 2024-04-20

    There were some developments using LLMs in the timeseries domain which caught my attention.

    I toyed with the Chronos forecasting toolkit [1], and the results were predictably off by wild margins [2]

    What really caught my eye though was the "feel" of the predicted timeseries -- this is the first time I've seen synthetic timeseries that look like the real thing. Stock charts have a certain quality to them, once you've been looking at them long enough, you can tell more often than not whether some unlabeled data is a stock price timeseries or not. It seems the chronos LLM was able to pick up on that "nature" of the price movement, and replicate it in its forecasts. Impressive!

    1: https://github.com/amazon-science/chronos-forecasting

    2: https://imgur.com/a/hTRQ38d

  • griptape

    Modular Python framework for AI agents and workflows with chain-of-thought reasoning, tools, and memory.

    • Project mention: I just had the displeasure of implementing Langchain in our org. | /r/LangChain | 2023-12-10

    Have you looked at griptape? https://github.com/griptape-ai/griptape

  • AnimeGANv3

    Use AnimeGANv3 to make your own animation works, including turning photos or videos into anime.

  • dialoqbase

    Create chatbots with ease

    • Project mention: Dialoqbaseโ€“ Now Supports Local AI Models | news.ycombinator.com | 2023-10-20

  • obsidian-textgenerator-plugin

    Text generator is a handy plugin for Obsidian that helps you generate text content using GPT-3 (OpenAI).

  • SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

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Index

What are some of the best open-source huggingface projects? This list will help you:

Project Stars
1 MindsDB 21,223
2 speechbrain 7,869
3 ai 7,726
4 chat-ui 5,980
5 Baichuan-7B 5,633
6 skorch 5,619
7 stable-diffusion-videos 4,213
8 Baichuan2 3,929
9 sahi 3,553
10 lmql 3,292
11 Baichuan-13B 2,956
12 evadb 2,570
13 LakeSoul 2,301
14 hands-on-llms 2,232
15 casibase 2,075
16 sagemaker-python-sdk 2,037
17 text-embeddings-inference 1,982
18 mPLUG-Owl 1,917
19 chronos-forecasting 1,589
20 griptape 1,579
21 AnimeGANv3 1,573
22 dialoqbase 1,424
23 obsidian-textgenerator-plugin 1,260

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