Popular GitHub Repositories for Ag066833

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

AG2 Visualized - Build Multi-Agentic Apps with Drag-and-Drop.

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Aliro: AI-Driven Data Science

The AI Podcast Studio: generate podcasts scripts and their audio version with a team of AI workers in a Podcast Studio ???

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network for Thorax Disease Classification")

Multi Generative AI agents for customer support email automation built with Golang, Google-GenAi and Customgraph solution

Multi-agent system for Embodied AI, powered by AG2.

Agentic Kernel是一个先进的Python框架，用于构建和协调自主AI智能体，其灵感来自微软的语义内核（Semantic Kernel）和Autogen。

Using an Autoencoder to encode features for k-Means Clustering on the AG News Dataset

Enables AG2 (formerly Autogen) agents to securely execute code in isolated remote sandboxes using YepCode’s serverless runtime.

AG2A: AutoGen Agent-to-Agent - A library for AutoGen (AG2) agents with MCP capabilities exposed as A2A agents

AutoML-MLOps is a comprehensive platform that simplifies the machine learning workflow by automating model development, training, and deployment. With features like real-time dashboards, interactive data visualization, and automated target selection, it enables both beginners and experienced data scientists to save time and improve model accuracy.

This repository contains the code, model configurations, and report for fine-tuning a roberta-base model using Low-Rank Adaptation (LoRA)- a Parameter-Efficient Fine-Tuning (PEFT) method - on the AG News classification task. The goal was to achieve high test accuracy while keeping trainable parameters under 1 million.

Predicting the topic of news articles

The project aims to democratize access to information by enabling transparent and inclusive AI interactions.

Parameter-efficient fine-tuning of DistilBERT using LoRA for sentiment and topic classification, with CLI, API, and interactive chatbot interfaces.