71 Open source projects that are alternatives of or similar to Prototypical-Networks

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

awesome few shot / meta learning papers

A 8-bit computer made of 74xx series logic gates and memory ICs.

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

LibFewShot: A Comprehensive Library for Few-shot Learning.

A basic CS curriculum for coding in Python.

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

Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection

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

Enhancing the BERT training with Semi-supervised Generative Adversarial Networks

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

📚 Computer Science Books 计算机技术类书籍 PDF

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

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

A compilation of game dev related media (podcasts, Youtube, article, books, etc..)

How to Solve it by Computer - R.G. Dromey Solutions

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

A simple terrain rendering project, with some neat optimizations such as baked lightmaps and fast ambient occclusion with heighmaps.

Third edition of the Computer Networking: Principles, Protocols and Practice ebook

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

SBTCVM is a virtual machine implementation of a balanced ternary (base 3) computer. Features several compiled languages for ternary software development.

Battery, BIOS, CPU - processor, storage drive, keyboard, RAM - memory, monitor, motherboard, mouse, NIC - network adapter, printer, sound card - audio card, graphics card - video card. Hardware.Info is a .NET Standard 2.0 library and uses WMI on Windows, /dev, /proc, /sys on Linux and sysctl, system_profiler on macOS.

16-bit Assembler Simulator

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

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

System Remote Control Discord Bot written in Python discord.py

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

Matching Networks for one-shot learning in tensorflow (NIPS'16)

Emulator of basic computer

PyTorch implementation of the paper: Vector Projection Network for Few-shot Slot Tagging in Natural Language Understanding. Su Zhu, Ruisheng Cao, Lu Chen and Kai Yu.

计算机书籍整理

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

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.

Learning low-shot object classification with explicit shape bias learned from point clouds

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)

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/

Dialogue Knowledge Transfer Networks (DiKTNet)

A curated list of papers, code and resources pertaining to weak-shot classification, detection, and segmentation.

A USB timer powered by Digispark ATtiny85 according to 🍅 pomodoro time management technique

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

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

Finetuning any DNN for better embedding on neural search tasks

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

a deep recurrent model for exchangeable data

💻📖 Programcıların faydalı bulacağı yasalar, teoriler, prensipler ve desenler. #hackerlaws

Codes for ACL-IJCNLP 2021 Paper "Zero-shot Fact Verification by Claim Generation"

planar fitting computation using stereo vision techniques

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

Awesome Few-shot learning

(CVPR 2021) Few-Shot Classification with Feature Map Reconstruction Networks

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

Edge Computer Vision Course

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

A curated list of papers, code and resources pertaining to few-shot image generation.

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

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

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

English to Chinese Translation Table for IT Terminologies , ITEC （IT術語及計算機科學術語中英文對照表）

Implementation of TheWebConf 2021 -- Few-shot Network Anomaly Detection via Cross-network Meta-learning

Laplacian Regularized Few Shot Learning