Popular GitHub Repositories for 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

jax library for E3 Equivariant Neural Networks

A Collection of Low Level Vision Research Groups

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

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"

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.

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

Converts ComfyUI workflows into clear Mermaid diagrams. Features a WebUI for one-click conversion of .json/PNG workflow files with direct diagram rendering, zoom, and pan. Supports extensive custom styling for nodes, groups, and links via flexible strategies. Includes automatic dark mode adaptation for diagrams.

This project is an AI-powered content generation tool that leverages Hugging Face's models to create customized content based on user queries. The application is built using Streamlit and provides an interactive UI for generating content tailored to different age groups and task types.

Compete with friends, join study groups, and track your progress to become a top student.

To build an AI-based classifier model to assign the tickets to right functional groups by analyzing the given description