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

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

A domain specific language to express machine learning workloads.

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

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...

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.

A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain, including papers, codes, and related websites