Awesome Open Source
Search
Programming Languages
Languages
All Categories
Categories
About

The Top 23 Few Shot Learning Open Source Projects

Open source projects categorized as Few Shot Learning
Categories > Few Shot Learning
Incontext Learning ⭐ 69
Experiments and code to generate the GINC small-scale in-context learning dataset from "An Explanation for In-context Learning as Implicit Bayesian Inference"
most recent commit 6 months ago
Laplacianshot ⭐ 69
Laplacian Regularized Few Shot Learning
most recent commit 2 years ago
Gnn_few_shot_cifar100 ⭐ 68
This is the PyTorch-0.4.0 implementation of few-shot learning on CIFAR-100 with graph neural networks (GNN)
most recent commit 6 years ago
Instructdial ⭐ 67
Code for the paper Code for the paper InstructDial: Improving Zero and Few-shot Generalization in Dialogue through Instruction Tuning
most recent commit a year ago
Knowledge_evolution ⭐ 67
(CVPR-Oral 2021) PyTorch implementation of Knowledge Evolution approach and Split-Nets
most recent commit 3 years ago
Tiered Imagenet Tools ⭐ 66
Tools for generating tieredImageNet dataset and processing batches
most recent commit 3 years ago
Templatener ⭐ 64
Source code for template-based NER
most recent commit 2 years ago
Deviation Network ⭐ 64
Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection
most recent commit 3 years ago
Mct ⭐ 63
Pytorch implementation of Meta-Learned Confidence for Few-shot Learning
most recent commit 3 years ago
Ssl Few Shot ⭐ 60
SSL-FEW-SHOT
most recent commit 4 years ago
Hice ⭐ 56
Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"
most recent commit 4 years ago
Automix ⭐ 56
Mixing Language Models with Self-Verification and Meta-Verification
most recent commit 6 months ago
Refiner ⭐ 56
About The corresponding code from our paper " REFINER: Reasoning Feedback on Intermediate Representations" (EACL 2024). Do not hesitate to open an issue if you run into any trouble!
most recent commit 3 months ago
Bongard Hoi ⭐ 55
[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning
most recent commit a year ago
Few Shot ⭐ 54
A PyTorch implementation of a few shot, and meta-learning algorithms for image classification.
most recent commit a year ago
Multidigitmnist ⭐ 54
Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning
most recent commit 3 years ago
Fscil ⭐ 51
[ICLR 2023] The official code for our ICLR 2023 (top25%) paper: "Neural Collapse Inspired Feature-Classifier Alignment for Few-Shot Class-Incremental Learning"
most recent commit 9 months ago
Matching Networks ⭐ 51
Matching Networks for one-shot learning in tensorflow (NIPS'16)
most recent commit 5 years ago
Deltagan Few Shot Image Generation ⭐ 49
[ECCV 2022] Generate sample-specific intra-category deltas for few-shot image generation.
most recent commit a year ago
Strm ⭐ 49
[CVPR 2022] Official Pytorch Implementation for "Spatio-temporal Relation Modeling for Few-shot Action Recognition". SOTA Results for Few-shot Action Recognition
most recent commit 2 years ago
E3bm ⭐ 49
PyTorch implementation of "An Ensemble of Epoch-wise Empirical Bayes for Few-shot Learning" (ECCV 2020)
most recent commit a year ago
Warp ⭐ 49
Code for ACL'2021 paper WARP 🌀 Word-level Adversarial ReProgramming. Outperforming `GPT-3` on SuperGLUE Few-Shot text classification. https://aclanthology.org/2021.acl-long.381/
most recent commit 3 years ago
Msanet ⭐ 48
Official Pytorch implementation of Multi-Similarity and Attention Guidence for Boosting Few-Shot Segmentation.
most recent commit 10 months ago
Categories
Privacy | About | Terms | Follow Us On Twitter

Downloads, Dependent Repos, Dependent Packages, Total Releases, Latest Releases data powered by Libraries.io.

Copyright 2018-2024 Awesome Open Source.  All rights reserved.