PaddlePaddle / PaddleHub
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
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Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)
An open-source post-exploitation framework for students, researchers and developers.
Rules engine for cloud security, cost optimization, and governance, DSL in yaml for policies to query, filter, and take actions on resources
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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)
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
All Algorithms implemented in Python
Open Source Differentiable Computer Vision Library
Framework for Automating Fuzzable Target Discovery with Static Analysis. Featured at Black Hat Arsenal USA 2022.
Welcome to the page where you will find each trick/technique/whatever I have learnt in CTFs, real life apps, and reading researches and news.
Multi-Cloud Security Auditing Tool
Curso Básico de Python da Lets-Code
MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.
In-Database Machine Learning
A port of GOBIG for Stable Diffusion
A cheatsheet of modern C++ language and library features.
The uncompromising Python code formatter
Label Studio is a multi-type data labeling and annotation tool with standardized output format
Impacket is a collection of Python classes for working with network protocols.
Ethereum Proof-of-Stake Consensus Specifications
An orchestration platform for the development, production, and observation of data assets.
[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.