Popular GitHub Repositories for Frequency Domain Decomposition

ELIZA is an open domain chatbot with Discord and Twitter integration.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

KAG is a logical form-guided reasoning and retrieval framework based on OpenSPG engine and LLMs. It is used to build logical reasoning and factual Q&A solutions for professional domain knowledge bases. It can effectively overcome the shortcomings of the traditional RAG vector similarity calculation model.

Argilla is a collaboration tool for AI engineers and domain experts to build high-quality datasets

Torchreid: Deep learning person re-identification in PyTorch.

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

.NET, Angular, Clean Architecture, Clean Code, SOLID Principles, KISS Principle, DRY Principle, Fail Fast Principle, Common Closure Principle, Common Reuse Principle, Acyclic Dependencies Principle, Mediator Pattern, Result Pattern, Folder-by-Feature Structure, Separation of Concerns

POT : Python Optimal Transport

A PyTorch Library for Multi-Task Learning

Pytorch domain library for recommendation systems

About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

:fire: PI-REC: Progressive Image Reconstruction Network With Edge and Color Domain. :fire: 图像翻译，条件GAN，AI绘画

A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain

OpenSPG is a Knowledge Graph Engine developed by Ant Group in collaboration with OpenKG, based on the SPG (Semantic-enhanced Programmable Graph) framework. Core Capabilities: 1) domain model constrained knowledge modeling, 2) facts and logic fused representation, 3) natively support KAG...

A domain specific language to express machine learning workloads.

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

List of awesome resources for machine learning-based algorithmic trading

TensorLy: Tensor Learning in Python.