Meta-SelfLearning VS pykale

Compare Meta-SelfLearning vs pykale and see what are their differences.

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! (by pykale)
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Meta-SelfLearning pykale
1 2
197 427
- 0.2%
0.0 9.1
almost 2 years ago 10 days ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Meta-SelfLearning

Posts with mentions or reviews of Meta-SelfLearning. We have used some of these posts to build our list of alternatives and similar projects.

pykale

Posts with mentions or reviews of pykale. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-25.

What are some alternatives?

When comparing Meta-SelfLearning and pykale you can also consider the following projects:

LFattNet - Attention-based View Selection Networks for Light-field Disparity Estimation

AdaTime - [TKDD 2023] AdaTime: A Benchmarking Suite for Domain Adaptation on Time Series Data

TextRecognitionDataGenerator - A synthetic data generator for text recognition

EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

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.

Multimodal-Toolkit - Multimodal model for text and tabular data with HuggingFace transformers as building block for text data

synthetic-computer-vision - A list of synthetic dataset and tools for computer vision

open_flamingo - An open-source framework for training large multimodal models.

fashion-mnist - A MNIST-like fashion product database. Benchmark :point_down:

valhalla-nmt - Code repository for CVPR 2022 paper "VALHALLA: Visual Hallucination for Machine Translation"

social-balance - A library-agnostic project for calculating exactly and efficiently social balance, based on the Aref, Mason and Wilson paper (https://arxiv.org/abs/1611.09030)

jina - ☁️ Build multimodal AI applications with cloud-native stack