Popular GitHub Repositories for Report

LLM based autonomous agent that conducts deep local and web research on any topic and generates a long report with citations.

Evidently is ??an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

? TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"

DATAGEN: AI-driven multi-agent research assistant automating hypothesis generation, data analysis, and report writing. Now expanding into crypto market intelligence. Learn more: https://datagen.digital/.

A collection of resources on applications of Transformers in Medical Imaging.

A collection of resources on applications of multi-modal learning in medical imaging.

VULNRΞPO - Free vulnerability report generator and repository, end-to-end encrypted! Templates of issues, CWE,CVE,MITRE ATT&CK,PCI DSS, import Nmap/Nessus/Burp/OpenVAS/Bugcrowd/Trivy, Jira export, TXT/JSON/MARKDOWN/HTML/DOCX, attachments, automatic changelog, stats, vulnerability management, bugbounty, local ai/llm, super fast pentest reporting!

OmniThink: Expanding Knowledge Boundaries in Machine Writing through Thinking

Understanding emotions from audio files using neural networks and multiple datasets.

WeChat: NeuralTalk，Weekly report and awesome list of embedded-ai.

Code for the CVPR paper "Interactive and Explainable Region-guided Radiology Report Generation"

ChatGPT加持的，多人在线协同信息安全报告编写平台。目前支持的报告类型：渗透测试报告，APP隐私合规报告。

Final Year Fake News Detection using Machine learning Project with Report, PPT, Code, Research Paper, Documents and Video Explanation.

Foundation models based medical image analysis

Combining Automatic Labelers and Expert Annotations for Accurate Radiology Report Labeling Using BERT

Python Voice Assistant project can: recognize and synthesize speech without Internet access; report the weather forecast anywhere in the world; make a search in the Google; make a video search in the YouTube; make a search for a definition in Wikipedia and read it; translate from the target language to the user's native language, and much more

Easy and comprehensive assessment of predictive power, with support for neuroimaging features

Weekly visualization report of Open LLM model performance based on 4 metrics.

Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting