266 Open source projects that are alternatives of or similar to Learning-To-Compare-For-Text

[IJCAI 2021] Cross-Domain Few-Shot Classification via Adversarial Task Augmentation

Awesome Few-shot learning

Official PyTorch implementation of "Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning" (ICCV2021 Oral)

Tensorflow implementation for paper: Learning to Compare: Relation Network for Few-Shot Learning.

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

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

Official repository of https://arxiv.org/abs/2111.04040v1

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/

LibFewShot: A Comprehensive Library for Few-shot Learning.

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

awesome few shot / meta learning papers

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

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

Finetuning any DNN for better embedding on neural search tasks

Named Entity Recognition with BERT using TensorFlow 2.0

AiSpace: Better practices for deep learning model development and deployment For Tensorflow 2.0

A curated list of pretrained sentence and word embedding models

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem

This demo uses a deep neural network and two generic cameras to perform 3D pose estimation.

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

A fast, high-quality neural vocoder.

finetune bert for small dataset text classification in a few-shot learning manner using ProtoNet

High-quality Neural Networks for Computer Vision 😎

Pytorch Imagenet Models Example + Transfer Learning (and fine-tuning)

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

Code for CheXpert Challenge 2019 Top 1 && Top 2 solution

Generic Foreground Segmentation in Images

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

TensorFlow 2.0 implementation of MAML.

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Pretrained is the most complete and frequently updated list of pretrained top-performing models. Tensorflow, Theano and others. Want to add your model? File an issue, and we will add it.

Porting of Skip-Thoughts pretrained models from Theano to PyTorch & Torch7

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Pre-Trained Models for ToD-BERT

A novel method to tune language models. Codes and datasets for paper ``GPT understands, too''.

Semantic text segmentation. For sentence boundary detection, compound splitting and more.

Implementation of our paper "Meta Reinforcement Learning with Task Embedding and Shared Policy"

DiffWave is a fast, high-quality neural vocoder and waveform synthesizer.

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Breast density classification with deep convolutional neural networks

Code for 15th place in Kaggle Google AI Open Images - Object Detection Track

中文 预训练 ELECTRA 模型: 基于对抗学习 pretrain Chinese Model

A TensorFlow implementation of the Mnemonic Descent Method.

Pretrained TorchVision models on CIFAR10 dataset (with weights)

Motion Fused Frames implementation in PyTorch, codes and pretrained models.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"

DimeNet and DimeNet++ models, as proposed in "Directional Message Passing for Molecular Graphs" (ICLR 2020) and "Fast and Uncertainty-Aware Directional Message Passing for Non-Equilibrium Molecules" (NeurIPS-W 2020)

Pretrained BERT model for analysing COVID-19 Twitter data

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

[ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions

Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".

PyTorch implementation of 'Squeeze and Excite' Guided Few Shot Segmentation of Volumetric Scans

Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系，成为中文AIGC和认知智能的基础设施。

Modification of convolutional neural net "UNET" for image segmentation in Keras framework

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

This project implements a real-time image and video object detection classifier using pretrained yolov3 models.