Popular GitHub Repositories for Domain Constraint

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

Probabilistic language based on pattern matching and constraint propagation, 153 examples

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.

A language for constraint-guided and efficient LLM programming.

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

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

VIP cheatsheets for Stanford's CS 221 Artificial Intelligence

POT : Python Optimal Transport

A PyTorch Library for Multi-Task Learning

Pytorch domain library for recommendation systems

: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.

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