Popular GitHub Repositories for Class Mapping

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

POT : Python Optimal Transport

Machine Learning University: Accelerated Natural Language Processing Class

Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM)

NestJS Helper + AI Chatbot Development

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

Fractal Graph-of-Thought. Rhizomatic Mind-Mapping for Ai-Agents, Web-Links, Notes, and Code.

视觉(语义) SLAM 相关研究跟踪

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.

Machine Learning University: Accelerated Computer Vision Class

The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.

Robot-centric elevation mapping for rough terrain navigation

Introducing DeToxify – the ultimate toxicity buster. Armed with NLP superpowers, it sniffs out harmful comments, neutralizes negativity, and rewrites toxicity into pure class. Think of it as Jarvis for your online spaces—making the internet a kinder, smarter place, one comment at a time.

Prompty makes it easy to create, manage, debug, and evaluate LLM prompts for your AI applications. Prompty is an asset class and format for LLM prompts designed to enhance observability, understandability, and portability for developers.

PyCIL: A Python Toolbox for Class-Incremental Learning

[CVPR 2020] CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement

Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.

Eagle Family: Exploring Model Designs, Data Recipes and Training Strategies for Frontier-Class Multimodal LLMs

A microframework on top of PyTorch with first-class citizen APIs for foundation model adaptation

A PyTorch implementation of the Deep SVDD anomaly detection method