170 Open source projects that are alternatives of or similar to CS330-Stanford-Deep-Multi-Task-and-Meta-Learning

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

TensorFlow 2.0 implementation of MAML.

This repository implements the paper, Model-Agnostic Meta-Leanring for Fast Adaptation of Deep Networks.

Personalizing Dialogue Agents via Meta-Learning

[CVPR2021] Meta Batch-Instance Normalization for Generalizable Person Re-Identification

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

Code for meta-learning initializations for image segmentation

Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.

Python Meta-Feature Extractor package.

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

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

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

One-Shot Learning with Triplet CNNs in Pytorch

Code of Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

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

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)

Repository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.

Keith Devlin's Introduction to Mathematical Thinking course on Coursera (2017 Spring)

Code for FOCAL Paper Published at ICLR 2021

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

BERT-based joint intent detection and slot filling with intent-slot attention mechanism (INTERSPEECH 2021)

Advanced Differentiable Neural Computer (ADNC) with application to bAbI task and CNN RC task.

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

中文NER的那些事儿

A curated list of University CS Resources

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

"How to Start a Startup" is the Y Combinator class made by real entrepreneurs

(ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_With_Task_Routing_ICCV_2019_paper.html

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

Official implementation of Meta-StyleSpeech and StyleSpeech

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

Solutions to Assignments of CS231n: Convolutional Neural Networks for Visual Recognition(http://cs231n.github.io/)

This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).

CS231n Assignments Solutions - Spring 2020

Meta-DETR: Official PyTorch Implementation

Code for the paper Biomedical Event Extraction with Hierarchical Knowledge Graphs

[ECCV 2020] Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance

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

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

*SEM 2018: Learning Distributed Event Representations with a Multi-Task Approach

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

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

Here is the code for the paper ``Recurrent Interaction Network for Jointly Extracting Entities and Classifying Relations'' accepted by EMNLP2020.

awesome few shot / meta learning papers

Tools for building raster processing and display services

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI

Awesome Few-shot learning

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

This is an official implementation for "Learning to Expand Audience via Meta Hybrid Experts and Critics for Recommendation and Advertising"(KDD2021).

TensorFlow implementation of CNN fast neural style transfer ⚡️ 🎨 🌌

Code for "Multi-task Reinforcement Learning with Soft Modularization"

LibFewShot: A Comprehensive Library for Few-shot Learning.

Automatically labeling training data

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

🙋 A Selenium based automated program that scrapes profiles data,stores in CSV,follows them and saves their profile in PDF.

This is an unofficial LaTeX Beamer presentation template for Stanford University.

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.

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]