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Top 17 meta-learning Open-Source Projects
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transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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pykale
Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem. ⭐ Star to support our work!
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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deep-kernel-transfer
Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
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tasksource
Datasets collection and standardization preprocessings for NLP extreme multitask learning
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awesome-artificial-intelligence-research
A curated list of Artificial Intelligence (AI) Research, tracks the cutting edge trending of AI research, including recommender systems, computer vision, machine learning, etc.
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ORBIT-Dataset
The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
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Meta-SAC
Auto-tune the Entropy Temperature of Soft Actor-Critic via Metagradient - 7th ICML AutoML workshop 2020
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Project mention: How do I run this code from Papers in 100 lines of code? | /r/NeuralRadianceFields | 2023-09-22I wanted to try the some code written by Maxime Vandegar https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/KiloNeRF_Speeding_up_Neural_Radiance_Fields_with_Thousands_of_Tiny_MLPs
Project mention: A resource list for causality in statistics, data science and physics | news.ycombinator.com | 2023-09-02
Technically, BERT (bert-base) is not sota anymore. deberta+MTT-DNN (multi-task learning on many datasets) https://ibm.github.io/model-recycling/ is arguably sota.
meta-learning related posts
- PyGlove: Manipulating Python Programs
- 🔥 Google Research Introduces An Extension of PyGlove: A General Purpose Python Library That Can Now Easily And Scalably Share Machine Learning Ideas As Code
- is the reproducibility of omniglot completely broken in l2l?
- Domain adaptation text recognition/OCR dataset (MSDA) and benchmark: Multi-source domain adaptation dataset for text recognition
- Awesome-Artificial-Intelligence-Research curated lists
- Few-Shot Learning
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A note from our sponsor - WorkOS
workos.com | 26 Apr 2024
Index
What are some of the best open-source meta-learning projects? This list will help you:
Project | Stars | |
---|---|---|
1 | transferlearning | 12,841 |
2 | auto-sklearn | 7,403 |
3 | learn2learn | 2,536 |
4 | FSL-Mate | 1,640 |
5 | Papers-in-100-Lines-of-Code | 577 |
6 | torchopt | 496 |
7 | pykale | 427 |
8 | pyglove | 320 |
9 | Open-L2O | 248 |
10 | looper | 235 |
11 | Meta-SelfLearning | 197 |
12 | deep-kernel-transfer | 190 |
13 | tasksource | 119 |
14 | awesome-artificial-intelligence-research | 112 |
15 | Awesome-ComputerVision | 98 |
16 | ORBIT-Dataset | 85 |
17 | Meta-SAC | 28 |
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