Um guia abrangente para iniciantes na área de cibersegurança.📣 COMECE POR AQUI! Um guia abrangente para iniciantes na área de cibersegurança. 📖 Conteúdo Trilha de Estudo Guia de Certificações Fundamentos de Cibersegurança Soft skills Livros recomendados Eventos no Brasil Laboratórios Virtuais Desafios CTF (Capture The Flag) Sites e Blogs Recomendados: Podcasts sobre Cibersegurança: Ferramentas Essenciais: Reddit: Subreddits para discussões. Youtube: Canais sobre Cibersegurança Brasileiros. Yo…
Build browser agents for real world tasksautotab Welcome to autotab! autotab makes it easy to create auditable browser automations using AI. Go from a point & click demonstration in the browser to live code for those actions in seconds. Quickstart It usually takes 5-10 minutes to get everything set up (including gathering passwords and installing dependencies). You must have the Chrome browser installed, and we recommend setting up a Python virtual environment: git clone https://github.com/…
Sparsity-aware deep learning inference runtime for CPUs DeepSparse Sparsity-aware deep learning inference runtime for CPUs DeepSparse is a CPU inference runtime that takes advantage of sparsity to accelerate neural network inference. Coupled with SparseML, our optimization library for pruning and quantizing your models, DeepSparse delivers exceptional inference performance on CPU hardware. ✨NEW✨ DeepSparse LLMs…
An intelligent coding assistant plugin for Visual Studio Code, developed based on CodeShellCodeShell VSCode Extension codeshell-vscode项目是基于CodeShell大模型开发的支持Visual Studio Code的智能编码助手插件，支持python、java、c++/c、javascript、go等多种编程语言，为开发者提供代码补全、代码解释、代码优化、注释生成、对话问答等功能，旨在通过智能化的方式帮助开发者提高编程效率。 环境要求 node版本要要v18及以上 Visual Studio Code版本要求 1.68 及以上 CodeShell 模型服务已启动 编译插件 如果要从源码进行打包，需要安装 node v18 以上版本，并执行以下命令： git clone https://github.com/WisdomShell/codeshell-vscode.git cd codeshell-vscode npm install npm exe…
A series of code large language models developed by PKU-KCL 🤗 Hugging Face • 🌐 PKU-KCL 中文|English Introduction CodeShell是北京大学知识计算实验室联合四川天府银行AI团队研发的多语言代码大模型基座。CodeShell具有70亿参数，在五千亿Tokens进行了训练，上下文窗口长度为8192。在权威的代码评估Benchmark（HumanEval与MBPP）上，CodeShell取得同等规模最好的性能。与此同时，我们提供了与CodeShell配套的部署方案与IDE插件，请参考代码库CodeShell。 本次开源的模型如下： CodeShell Base：CodelShell底座模型，具有强大的代码基础能力。 CodeShell Chat：CodelShell对话模型，在代码问答、代码补全等下游任务重性能优异。 CodeShell Chat 4bit：CodelShell对话模型4bit量化版本，在保证模型性能的前提下内存消耗更小，…
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines. TensorRT-LLM A TensorRT Toolbox for Large Language Models Architecture | Results | Examples | Documentation Table of Contents TensorRT-LLM Overview I…
A Library for Advanced Deep Time Series Models.Time Series Library (TSlib) TSlib is an open-source library for deep learning researchers, especially deep time series analysis. We provide a neat code base to evaluate advanced deep time series models or develop your own model, which covers five mainstream tasks: long- and short-term forecasting, imputation, anomaly detection, and classification. 🚩News (2023.10) We add an official implementation to iTransformer, which is the state-of-the-art model…
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step InferenceLatent Consistency Models Official Repository of the paper: Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference. Project Page: https://latent-consistency-models.github.io Try our 🤗 Hugging Face Demos: 🔥🔥🔥 News (🔥New) 2023/10/19 We provide a demo of LCM in 🤗 Hugging Face Space. Try it here. (🔥New) 2023/10/19 We provide the LCM model (Dreamshaper_v7) in 🤗 Hugging Face. Downlo…
OpenAgents: An Open Platform for Language Agents in the WildOpenAgents: An Open Platform for Language Agents in the Wild Current language agent frameworks aim to facilitate the construction of proof-of-concept language agents while neglecting the non-expert user access to agents and paying little attention to application-level designs. We built OpenAgents, an open p…