Mahendra Kutare (imaxxs)

imaxxs

Geek Repo

Company:DeepTrail

Location:San Francisco

Home Page:https://www.linkedin.com/in/imaxxs/

Twitter:@imaxxs

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Mahendra Kutare's starred repositories

aws_dataset

A dataset with CloudTrail events from an attack simulation using Stratus.

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o365_dataset

A dataset containing Office 365 Unified Audit Logs for security research and detection

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Office-365-Extractor

The Office 365 Extractor is a tool that allows for complete and reliable extraction of the Unified Audit Log (UAL)

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Business-Email-Compromise-Guide

The Business Email Compromise Guide sets out to describe 10 steps for performing a Business Email Compromise (BEC) investigation in an Office 365 environment. Each step is intended to guide the process of identifying, collecting and analysing activity associated with BEC intrusions.

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AutoAct

[ACL 2024] AUTOACT: Automatic Agent Learning from Scratch for QA via Self-Planning

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MindSearch

🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)

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prontoqa

Synthetic question-answering dataset to formally analyze the chain-of-thought output of large language models on a reasoning task.

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AgentBench

A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

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diana

Save toil in security operations with: Detection & Intelligence Analysis for New Alerts (D.I.A.N.A. )

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TinyAgent

TinyAgent: Function Calling at the Edge!

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policy-synth

Policy Synth is a Typescript class library for creating multi-scale AI agent logic flows, API's and state of the art realtime web applications. The drive behind the project is to help governments and citizens make better decisions together by seamlessly integrating collective and artificial intelligence.

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llm-planning-eval

Code and data of paper "When is Tree Search Useful for LLM Planning? It Depends on the Discriminator"

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camel

🐫 CAMEL: Finding the Scaling Law of Agents. A multi-agent framework. https://www.camel-ai.org

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InstructGLM

Language is All a Graph Needs

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Formal-LLM

Formal-LLM: Integrating Formal Language and Natural Language for Controllable LLM-based Agents

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AIOS

AIOS: LLM Agent Operating System

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stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

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alpaca-lora

Instruct-tune LLaMA on consumer hardware

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FireAct

FireAct: Toward Language Agent Fine-tuning

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intercode

[NeurIPS 2023 D&B] Code repository for InterCode benchmark https://arxiv.org/abs/2306.14898

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LLM_Tree_Search

(ICML 2024) Alphazero-like Tree-Search can guide large language model decoding and training

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SWE-agent

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It solves 12.47% of bugs in the SWE-bench evaluation set and takes just 1 minute to run.

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awesome-language-agents

List of language agents based on paper "Cognitive Architectures for Language Agents"

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GeFs

Generative Forests in Python

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CloudEval-YAML

☁️ Benchmarking LLMs for Cloud Config Generation | 云场景下的大模型基准测试

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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