Frankluox

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

einops

Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

bolei_awesome_posters

CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!

flamingo-pytorch

Implementation of 🦩 Flamingo, state-of-the-art few-shot visual question answering attention net out of Deepmind, in Pytorch

inat_comp

iNaturalist competition details

StreamYOLO

Real-time Object Detection for Streaming Perception, CVPR 2022

DeepBDC

The Pytorch code of "Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification", CVPR 2022 (Oral).

labelImg2

labelImg2 with rotated box and extra label support

URL

Universal Representation Learning from Multiple Domains for Few-shot Classification - ICCV 2021, Cross-domain Few-shot Learning with Task-specific Adapters - CVPR 2022

renet

[ICCV'21] Official PyTorch implementation of Relational Embedding for Few-Shot Classification

McQuic

Repository of CVPR'22 paper "Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression"

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.

tednet

TedNet: A Pytorch Toolkit for Tensor Decomposition Networks

inat_comp_2018

CNN training code for iNaturalist 2018 image classification competition

Bongard-HOI

[CVPR 2022 (oral)] Bongard-HOI for benchmarking few-shot visual reasoning

pytorch-meta-dataset

A non-official 100% PyTorch implementation of META-DATASET benchmark for few-shot classification

Channel_Importance_FSL

[ICML 2022] Channel Importance Matters in Few-shot Image Classification

MCL

Code and data for paper https://arxiv.org/pdf/2106.05517.pdf (CVPR 2022)

multimodal-meta-learn

Official code repository for "Meta Learning to Bridge Vision and Language Models for Multimodal Few-Shot Learning" (published at ICLR 2023).

CloserLookAgainFewShot

[ICML 2023] A Closer Look at Few-shot Classification Again

UNICORN-MAML

PyTorch implementation of "How to Train Your MAML to Excel in Few-Shot Classification"

byol-convert

Code and model definition for converting the official BYOL weights to PyTorch

few-shot-baseline

LabelHalluc

[AAAI 2022] Label Hallucination for Few-Shot Classification

contextual-squeeze-and-excitation

Official Pytorch implementation of the paper "Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification" (NeurIPS 2022)

eTT_TMLR2022

DETA

FSL-TCBR

Alleviating the Sample Selection Bias in Few-shot Learning by Removing Projection to the Centroid

firth_bias_reduction

This repository contains the experiments conducted in the ICLR 2022 spotlight paper "On the Importance of Firth Bias Reduction in Few-Shot Classification".

highest_cited_ml_conference_paper

A github page that displays the highest cited machine learning conference paper.