few-shot-learning

Open-source projects categorized as few-shot-learning

Top 22 few-shot-learning Open-Source Projects

  • transferlearning

    Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

  • awesome-domain-adaptation

    A collection of AWESOME things about domian adaptation

  • 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.

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  • Awesome-Prompt-Engineering

    This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc

  • Project mention: AI lessons | /r/ChatGPT | 2023-05-09

    Yes, there are a lot of different resources online, especially for generative AI. The Awesome Prompt Engineering github is probably a good place to start https://github.com/promptslab/Awesome-Prompt-Engineering. If you're focusing directly on OpenAI's models then the OpenAI Prompt Engineering Guide would be my recommendation https://help.openai.com/en/articles/6654000-best-practices-for-prompt-engineering-with-openai-api.

  • setfit

    Efficient few-shot learning with Sentence Transformers

  • Project mention: FLaNK Stack 05 Feb 2024 | dev.to | 2024-02-05
  • FSL-Mate

    FSL-Mate: A collection of resources for few-shot learning (FSL).

  • finetuner

    :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

  • Hands-On-Meta-Learning-With-Python

    Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

  • SaaSHub

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  • test

    Measuring Massive Multitask Language Understanding | ICLR 2021

  • Project mention: Measuring Multitask Language Understanding | news.ycombinator.com | 2024-04-20
  • mmfewshot

    OpenMMLab FewShot Learning Toolbox and Benchmark

  • self-refine

    LLMs can generate feedback on their work, use it to improve the output, and repeat this process iteratively.

  • Project mention: Self-Refine: Iterative Refinement with Self-Feedback | news.ycombinator.com | 2023-11-23
  • pal

    PaL: Program-Aided Language Models (ICML 2023) (by reasoning-machines)

  • HugNLP

    CIKM2023 Best Demo Paper Award. HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 (by HugAILab)

  • memprompt

    A method to fix GPT-3 after deployment with user feedback, without re-training.

  • zshot

    Zero and Few shot named entity & relationships recognition

  • Project mention: A transformer-based method for zero and few-shot biomedical NER | news.ycombinator.com | 2023-05-12
  • HugNLP

    HugNLP is a unified and comprehensive NLP library based on HuggingFace Transformer. Please hugging for NLP now!😊 HugNLP will released to @HugAILab

  • LAMP

    Official implement code of LAMP: Learn a Motion Pattern by Few-Shot Tuning a Text-to-Image Diffusion Model (Few-shot-based text-to-video diffusion)

  • Project mention: List of Stable Diffusion research softwares that I don't think gotten widespread adoption. | /r/StableDiffusion | 2023-12-10
  • deep-kernel-transfer

    Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)

  • Awesome-Weak-Shot-Learning

    A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

  • Hands-On-Deep-Learning-Algorithms-with-Python

    Hands-On Deep Learning Algorithms with Python, By Packt

  • prompt-lib

    A set of utilities for running few-shot prompting experiments on large-language models

  • ORBIT-Dataset

    The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.

  • TaiChi

    Open source library for few shot NLP (by salesforce)

  • SaaSHub

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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).

few-shot-learning related posts

  • Measuring Multitask Language Understanding

    1 project | news.ycombinator.com | 20 Apr 2024
  • Mixtral 7B MoE beats LLaMA2 70B in MMLU

    2 projects | /r/LocalLLaMA | 10 Dec 2023
  • BREAKING: Google just released its ChatGPT Killer

    1 project | /r/u_enoumen | 6 Dec 2023
  • Self-Refine: Iterative Refinement with Self-Feedback

    1 project | news.ycombinator.com | 23 Nov 2023
  • Smarter Summaries with Finetuning GPT-3.5 and Chain of Density

    1 project | news.ycombinator.com | 14 Nov 2023
  • Remote Work 2.0: The Tools, Trends, and Challenges of the Post-Pandemic Work Era

    1 project | dev.to | 13 Aug 2023
  • [Colab Notebook] Launch quantized MPT-30B-Chat on Vast.ai using text-generation-inference, integrated with ConversationChain

    1 project | /r/LangChain | 9 Jul 2023
  • A note from our sponsor - SaaSHub
    www.saashub.com | 6 May 2024
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Index

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

Project Stars
1 transferlearning 12,880
2 awesome-domain-adaptation 4,898
3 Awesome-Prompt-Engineering 3,212
4 setfit 1,990
5 FSL-Mate 1,645
6 finetuner 1,427
7 Hands-On-Meta-Learning-With-Python 1,123
8 test 946
9 mmfewshot 660
10 self-refine 488
11 pal 436
12 HugNLP 370
13 memprompt 320
14 zshot 320
15 HugNLP 247
16 LAMP 223
17 deep-kernel-transfer 190
18 Awesome-Weak-Shot-Learning 183
19 Hands-On-Deep-Learning-Algorithms-with-Python 107
20 prompt-lib 98
21 ORBIT-Dataset 86
22 TaiChi 78

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