CEPC VS pykale

Compare CEPC 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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CEPC pykale
2 2
6 427
- 0.2%
4.1 9.1
about 2 years ago 7 days ago
Python Python
MIT License 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.

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 CEPC and pykale you can also consider the following projects:

Transfer-Learning-Library - Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

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

pytorch-adapt - Domain adaptation made easy. Fully featured, modular, and customizable.

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

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

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

Meta-SelfLearning - Meta Self-learning for Multi-Source Domain Adaptation: A Benchmark

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

hierarchical-domain-adaptation - Code of NAACL 2022 "Efficient Hierarchical Domain Adaptation for Pretrained Language Models" paper.