677 Open source projects that are alternatives of or similar to FSL-Mate

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

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

awesome few shot / meta learning papers

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

Summary of machine learning papers

The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)

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

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

Awesome Few-shot learning

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

Finetuning any DNN for better embedding on neural search tasks

😎 face releated algorithm, dataset and paper

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

List of awesome papers on Polarization Imaging

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

Summarizing the papers I have read (Japanese)

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

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

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Implementation of Model-Agnostic Meta-Learning (MAML) applied on Reinforcement Learning problems in TensorFlow 2.

Collection of books/papers that I've read/I'm going to read/I would remember that they exist/It is unlikely that I'll read/I'll never read.

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

The best resources around Machine Learning

Code for the paper "Evolved Policy Gradients"

A collection of AWESOME things about domian adaptation

awesome grounding: A curated list of research papers in visual grounding

Implementation for <Neural Similarity Learning> in NeurIPS'19.

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)

One-Shot Recognition of Manufacturing Defects in Steel Surfaces

One-Shot Learning with Triplet CNNs in Pytorch

LibFewShot: A Comprehensive Library for Few-shot Learning.

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Awesome list for cryptographic secure computation paper. This repo includes *Lattice*, *DifferentialPrivacy*, *MPC* and also a comprehensive summary for top conferences.

Print Markdown to a paper in your terminal

End-to-end face detection and recognition system using PaddlePaddle.

Official code for "EagerMOT: 3D Multi-Object Tracking via Sensor Fusion" [ICRA 2021]

code for our ICCV 2021 paper "DeepCAD: A Deep Generative Network for Computer-Aided Design Models"

知网/万方 论文/期刊批量检索下载

NLP 和机器学习论文中文翻译

Collect papers for data engineering such as OLTP/OLAP/ETL/DistributedStorage.

機械学習関連の論文Survey用レポジトリ

Purpur is a drop-in replacement for Paper servers designed for configurability, and new fun and exciting gameplay features.

Context-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020

The official repository for our paper "Are Neural Nets Modular? Inspecting Functional Modularity Through Differentiable Weight Masks". We develop a method for analyzing emerging functional modularity in neural networks based on differentiable weight masks and use it to point out important issues in current-day neural networks.

Reading notes on deep learning papers---深度学习论文阅读笔记

A place to keep track of all the annotated papers.

Task-agnostic universal black-box attacks on computer vision neural network via procedural noise (CCS'19)

Code for the paper "Improving GANs Using Optimal Transport"

Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

The most popular Skywars plugin ever built for Spigot and Bukkit!

Flexible, open & solid paper Quest Plugin [with GUI]

An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.

A fork of Purpur that aims to improve performance and add FabricMC compatibility.

This repo is about NAS

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

Code and models for the paper Shape-Texture Debiased Neural Network Training (ICLR 2021)

Image Segmentation Enhancements and Optimizations: A Stochastic Approach

Voxel Sniper fork for modern Minecraft versions utilizing the improvements of FastAsyncWorldEdit

Code for the blog post "Learning Montezuma’s Revenge from a Single Demonstration"