362 Open source projects that are alternatives of or similar to NSL

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

This repo conatins the code of the problems practised by me on Codeforces,Codedchef,Leetcode,Geeks For Geeks

Awesome Multitask Learning Resources

Easy to use lightweight web crawler（易用的轻量化网络爬虫）

Java web crawling library

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

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No description or website provided.

Assorted pintools

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

🔥 Suspense/Lazy for ReasonReact.

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

This is a dynamic simulation for quadrotor UAV

Code for: "Learning To Adapt For Stereo" accepted at CVPR2019

The C# REST Client - the only REST/ HTTP Client you will ever need

Repository containing code for the paper "Meta-Learning with Sparse Experience Replay for Lifelong Language Learning".

🤖 A collection of tools to make your Angular views more modular, scalable, and maintainable

MetaGenRL, a novel meta reinforcement learning algorithm. Unlike prior work, MetaGenRL can generalize to new environments that are entirely different from those used for meta-training.

Multi-device OpenCL kernel load balancer and pipeliner API for C#. Uses shared-distributed memory model to keep GPUs updated fast while using same kernel on all devices(for simplicity).

Meta-DETR: Official PyTorch Implementation

The flutter_dynamic is a library that create flutter application dynamic.

Awesome Few-shot learning

vektonn.github.io/vektonn

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

Widget for display dynamic fields, adding and removing their using Pjax.

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

A Generic Low-Code Framework Built on a Config-Driven Tree Walker

Python Meta-Feature Extractor package.

Dynamically create python functions with a proper signature.

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[DEPRECATED]

[ECCV 2020] Scale Adaptive Network: Learning to Learn Parameterized Classification Networks for Scalable Input Images

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Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Fast Robot Optimization and Simulation Toolkit (FROST)

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

.NET library that aims to provide faster usage of C# reflection features. Especially the usage of constructor and members accessors (get/set). It also provides an ObjectWrapper object allowing to use Reflection in a faster way. And finally it offers the possibility to create strongly typed delegates.

Source code for ECCV2020 "Fast Adaptation to Super-Resolution Networks via Meta-Learning"

Dynamic configurable crawl (动态可配置化爬虫)

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

Create Dynamic CLI's as your GitOps Marketplace

Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines and results.

springboot 动态切换数据的基本思想与实现方法

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

Visual SLAM system that can identify and exclude dynamic objects.

Official pytorch implementation of the paper: "A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection"

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Tiny Powerfull JavaScript Engine On Android Platform integrating with java

~ Dynamic ReadME Generator ~

Code for FOCAL Paper Published at ICLR 2021

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LD_PRELOAD Linux rootkit (x86 & ARM)

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Reaction Decoder Tool (RDT) - Atom Atom Mapping Tool