Python few-shot-learning

Open-source Python projects categorized as few-shot-learning
Edit details
Topics: Deep Learning Pytorch Machine Learning gpt-3 meta-learning
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.
workos.com
Sponsored

Top 17 Python few-shot-learning Projects

  • transferlearning

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

  • 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.

  • 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.

    WorkOS logo

  • FSL-Mate

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

  • finetuner

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

  • test

    Measuring Massive Multitask Language Understanding | ICLR 2021

    • Project mention: Mixtral 7B MoE beats LLaMA2 70B in MMLU | /r/LocalLLaMA | 2023-12-10

    Sources [1] MMLU Benchmark (Multi-task Language Understanding) | Papers With Code https://paperswithcode.com/sota/multi-task-language-understanding-on-mmlu [2] MMLU Dataset | Papers With Code https://paperswithcode.com/dataset/mmlu [3] hendrycks/test: Measuring Massive Multitask Language Understanding | ICLR 2021 - GitHub https://github.com/hendrycks/test [4] lukaemon/mmlu · Datasets at Hugging Face https://huggingface.co/datasets/lukaemon/mmlu [5] [2009.03300] Measuring Massive Multitask Language Understanding - arXiv https://arxiv.org/abs/2009.03300

  • 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

  • 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

  • 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)

    • Project mention: HugNLP: A Unified and Comprehensive Open-Source Library for NLP | news.ycombinator.com | 2023-05-03

  • 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)

  • 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

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

    SaaSHub logo
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). The latest post mention was on 2023-12-10.

Python few-shot-learning related posts

Index

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

Project Stars
1 transferlearning 12,808
2 Awesome-Prompt-Engineering 3,165
3 FSL-Mate 1,638
4 finetuner 1,423
5 test 906
6 mmfewshot 654
7 self-refine 469
8 pal 433
9 HugNLP 371
10 memprompt 320
11 zshot 315
12 HugNLP 247
13 LAMP 218
14 deep-kernel-transfer 190
15 prompt-lib 94
16 ORBIT-Dataset 85
17 TaiChi 78

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com