albertan017's repositories

LLM4Decompile

Reverse Engineering: Decompiling Binary Code with Large Language Models

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LLM4Binary

Collect thoughts, suggestions and resources to build an LLM model for binary

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resym

For paper "ReSym: Harnessing LLMs to Recover Variable and Data Structure Symbols from Stripped Binaries" by Danning Xie, Zhuo Zhang, Nan Jiang, Xiangzhe Xu, Lin Tan, and Xiangyu Zhang. Accepted by ACM CCS 2024. 🏆 ACM SIGSAC Distinguished Paper Award Winner

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AI-research-tools

:hammer:AI 方向好用的科研工具

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Chinese-LLaMA-Alpaca-2

中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)

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fabric

fabric is an open-source framework for augmenting humans using AI. It provides a modular framework for solving specific problems using a crowdsourced set of AI prompts that can be used anywhere.

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LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)

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PaddleNLP

👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.

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rizin

UNIX-like reverse engineering framework and command-line toolset.

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Awesome-Code-Benchmark

A comprehensive code domain benchmark review of LLM researches.

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codealign

A tool for finding instruction-level equivalence between two functions.

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llama.cpp

LLM inference in C/C++

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llm-datasets

High-quality datasets, tools, and concepts for LLM fine-tuning.

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lux

👾 Fast and simple video download library and CLI tool written in Go

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mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

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obfuscator

ollvm,base on llvm-clang 5.0.2, 6.0.1 , 7.0.1,8.0,9.0,9.0.1,10.x,11.x,12.x,13.x,14.x,swift-llvm-clang 5.0,swift-llvm-clang 5.5

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OpenCoder-llm

The Open Cookbook for Top-Tier Code Large Language Model

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prorec

Official Implementation of NeurIPS 2024 paper - Source Code Foundation Models are Transferable Binary Analysis Knowledge Bases

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Superfiltering

[ACL'24] Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

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TSED

TSED with Flexible Parser

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