Zero and Few shot named entity & relationships recognition
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Updated
Jul 23, 2024 - Python
Zero and Few shot named entity & relationships recognition
Geodesic-Former: a Geodesic-Guided Few-shot 3D Point Cloud Instance Segmenter (ECCV 2022)
Inductive and Transductive Few-Shot Video Classification via Appearance and Temporal Alignments (ECCV 2022)
Few-shot Object Counting and Detection (ECCV 2022)
AI-powered tool for effortless, high-quality results from simple prompts. No prompt engineering skills required.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
Automatically fill in missing values in tabular data using in-context learning techniques.
Service to import data from various sources and index it in AI Search. Increases data relevance and reduces final size by 90%+. Useful for RAG scenarios with LLM. Hosted in Azure with serverless architecture.
[Me-FoMo ICLR 2023 - Oral] Exploring Demonstration Ensembling for In-context Learning
Code Repository for "SFT: Few-Shot Learning via Self-Supervised Feature Fusion With Transformer"
Kistmat-AI is an advanced machine learning model designed to solve a wide range of mathematical problems, from elementary arithmetic to university-level calculus. This project demonstrates the application of curriculum learning in AI, allowing the model to progressively tackle more complex mathematical concepts.
Meta Learning implementations via PyTorch (without any other frameworks)
(CVPR2023) The PyTorch implementation of the "AsyFOD: An Asymmetric Adaptation Paradigm for Few-Shot Domain Adaptive Object Detection".
[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Few-Shot Panoptic Segmentation With Foundation Models
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"
Official Code for "SingularTrajectory: Universal Trajectory Predictor using Diffusion Model (CVPR 2024)"
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