Popular GitHub Repositories for Lie Groups

A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.

A collection of Bayesian data analysis recipes using PyMC3

Pytorch implementation of diffusion models on Lie Groups for 6D grasp pose generation https://sites.google.com/view/se3dif/home

Rigid transforms + Lie groups for JAX

A Collection of Low Level Vision Research Groups

jax library for E3 Equivariant Neural Networks

Paper collection of federated learning. Conferences and Journals Collection for Federated Learning from 2019 to 2021, Accepted Papers, Hot topics and good research groups. Paper summary

Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch

RunaVault is a secure, serverless password management application built using AWS free-tier services and a React frontend. It enables users to create, manage, and share encrypted secrets (e.g., passwords) with individuals or groups, leveraging AWS Cognito for authentication, DynamoDB for storage, and KMS for encryption.

A Collection of AIGC Research Groups

WhatsApp Python Bot. Key features include sending and receiving messages, as well as support for images, files, documents, videos, and product. Group functionality is fully supported — you can create new groups and interact with them programmatically. Additionally, the bot can be integrated with ChatGPT to enable AI-powered conversations

Thanks to the proliferation of smart devices, such as smartphones and wearables, which are equipped with computation, communication and sensing capabilities, a plethora of new location-based services and applications are available for the users at any time and everywhere. Understanding human mobility has gain importance to offer better services able to provide valuable products to the user whenever it's required. The ability to predict when and where individuals will go next allows enabling smart recommendation systems or a better organization of resources such as public transport vehicles or taxis. Network providers can predict future activities of individuals and groups to optimize network handovers, while transport systems can provide more vehicles or lines where required, reducing waiting time and discomfort to their clients. The re

[CVPR 2024] Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)

Series of talks/workshops aimed at guiding newcomers through Python basics, Data Analysis and Machine Learning.

Machine Learning Case study on customer segmentation and prediction of groups.

Official implementation of the ICML 2022 paper "Going Deeper into Permutation-Sensitive Graph Neural Networks"

The "Supersymmetric Artificial Neural Network" (or "Edward Witten/String theory powered artificial neural network") is a Lie Superalgebra aligned algorithmic learning model, based on evidence pertaining to Supersymmetry in the biological brain.

This repository presents an innovative approach to classifying blood groups using fingerprint images through deep learning techniques. The project explores state-of-the-art convolutional neural network (CNN) architectures, such as ResNet, VGG16, AlexNet, and LeNet, to analyze and predict blood groups accurately.

TensorFlow RNN-based Lie Detector on the CSC Deceptive Speech Dataset

I'll guide you through setting up the resources, defining the agent's action groups, associating AWS Lambda functions to execute DynamoDB operations, and integrating the knowledge base for enhanced conversational experiences to provide more personalized and context-aware responses to user queries. All this with a 'CDK deploy' command using the AWS