183 Open source projects that are alternatives of or similar to WARP

Learning To Compare For Text , Few shot learning in text classification

Finetuning any DNN for better embedding on neural search tasks

Address book for computer vision models.

73.6% GhostNet 1.0x pre-trained model on ImageNet

LibFewShot: A Comprehensive Library for Few-shot Learning.

A codebase & model zoo for pretrained backbone based on MegEngine.

Protein Language Model

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

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

Implementation of "Effective Adversarial Regularization for Neural Machine Translation", ACL 2019

An Out-of-the-Box Replication of GANimation using PyTorch, pretrained weights are available!

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

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)

Monitor mechanical bolts as they move down a conveyor belt. When a bolt of an irregular size is detected, this solution emits an alert.

中文语音识别系列，读者可以借助它快速训练属于自己的中文语音识别模型，或直接使用预训练模型测试效果。

a deep recurrent model for exchangeable data

Few-shot Keyword Spotting in Any Language and Multilingual Spoken Word Corpus

Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

Awesome Few-shot learning

An open source implementation of CLIP.

Detect various irregularities of a product as it moves along a conveyor belt.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

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

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

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

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

Pretrained TorchVision models on CIFAR10 dataset (with weights)

GAP-text2SQL: Learning Contextual Representations for Semantic Parsing with Generation-Augmented Pre-Training

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

Dialogue Knowledge Transfer Networks (DiKTNet)

High-resolution breast cancer screening with multi-view deep convolutional neural networks

[CVPR 2021] Few-shot 3D Point Cloud Semantic Segmentation

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

ICML'2022: Black-Box Tuning for Language-Model-as-a-Service

awesome few shot / meta learning papers

Build an application that alerts you when someone enters a restricted area. Learn how to use models for multiclass object detection.

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

Create adversarial images to fool a MNIST classifier in TensorFlow

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

ACL 2019 paper:Multi-Level Matching and Aggregation Network for Few-Shot Relation Classification

A Robustly Optimized BERT Pretraining Approach for Vietnamese

Observe workers as they pass in front of a camera to determine if they have adequate safety protection.

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。

Laplacian Regularized Few Shot Learning

Code for ACL'19 "Few-Shot Representation Learning for Out-Of-Vocabulary Words"

this is roberta wwm base distilled model which was distilled from roberta wwm by roberta wwm large

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

(ECCV 2020) PyTorch implementation of paper "Few-Shot Object Detection and Viewpoint Estimation for Objects in the Wild"

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

Codes of the paper "Adversarial Binary Coding for Efficient Person Re-identification"

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

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

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

Meta-repository of screening mammography classifiers

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

Sinkhorn Label Allocation is a label assignment method for semi-supervised self-training algorithms. The SLA algorithm is described in full in this ICML 2021 paper: https://arxiv.org/abs/2102.08622.

Easily train or fine-tune SOTA computer vision models with one open source training library

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

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

Improving Disfluency Detection by Self-Training a Self-Attentive Model