proxia
There are 3 repositories under proxia topic.
- magnetron-GET3D
GCABC123 / magnetron-GET3D
✭ MAGNETRON ™ ✭: for making IMAGINATION PROXIA.
Language:Python 3 - magnetron-diffusers
✭ MAGNETRON ™ ✭: 🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Language:Python 2 - magnetron-exploitdb
✭ MAGNETRON ™ ✭: The official Exploit Database repository.This repository is for MAGNETRON ™ Network (CloudNet) Security & Automated (CloudNet) Network Cybersecurity.
Language:C 2 - magnetron.artificial-intelligence-2.0.mincloud.proxia--IMAGINATION-A1
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (A1) PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 2 - magnetron.artificial-intelligence-2.0.mincloud.proxia--INSTINCTIVE-MIND-1
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an OBJECT DETECTION proxia when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 2 - magnetron.artificial-intelligence-2.0.mincloud.proxia--INSTINCTIVE-MIND-7
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a EMOTION RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 2 - magnetron-alphafold
✭ MAGNETRON ™ ✭: 🧛♂️ ASTRAL TASTE PROXIA. Open source code for AlphaFold. AlphaFold is an artificial intelligence program performs predictions of protein structure. The program is designed as a deep learning system. AlphaFold can be implemented into ARTIFICIAL INTELLIGENCE 2.0 ™.
Language:Python 1 - magnetron-AlphaPose
✭ MAGNETRON ™ ✭: POSE ESTIMATION PROXIA. Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Language:Python 1 - magnetron-CYBERSECURITY-ncrack
✭ MAGNETRON ™ ✭: Ncrack network authentication tool. This repository is for MAGNETRON ™ Network (CloudNet) Security & Automated Network (CloudNet) Cybersecurity.
Language:C 1 - magnetron-DeepSpeech
✭ MAGNETRON ™ ✭: HEARING PROXIA. DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
Language:C++ 1 - magnetron-densecap-tensorflow
✭ MAGNETRON ™ ✭: ASTRAL MIND MINCLOUD PROXIA for dense language descriptions that can be used to Generate sentence description of images (with LOGIC).
Language:Python 1 - magnetron-detectron2
✭ MAGNETRON ™ ✭: Detectron2 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.
Language:Python 1 - magnetron-gpt-3-brain
✭ MAGNETRON ™ ✭: MAIN BRAIN PROXIA. GPT-3: Language Models are Few-Shot Learners
- magnetron-GSCNN
✭ MAGNETRON ™ ✭: Gated-Shape CNN for Semantic Segmentation for making a MASKING PROXIA in the ARTIFICIAL INTELLIGENCE 2.0 ™ Framework. ARTIFICIAL INTELLIGENCE 2.0 ™ is part of MAGNETRON ™ TECHNOLOGY.
Language:Python 1 - magnetron-HIVE-MANAGEMENT-PROXIA-Alphastar
✭ MAGNETRON TECHNOLOGY ™ ✭: AlphaStar has the same kind of constraints that humans play under – including viewing the world through a camera, which makes it ideal to adapt to ARTIFICIAL INTELLIGENCE 2.0 ™ for DRONEBOT ™ and QUEEN ™ of PHALANX ™/HIVE ™/SWARM ™ (see ARTIFICIAL INTELLIGENCE 2.0 ™ Documentation). AlphaStar is the first AI to reach the top league of a widely popular esport without any game restrictions.
Language:Python 1 - magnetron-imagination-A1
✭ MAGNETRON ™ ✭: for making an IMAGINATION PROXIA/IMAGINATION PROXIA (A1). Instant neural graphics primitives: lightning fast NeRF (Neural Radiance Fields) and more...
Language:Cuda 1 - magnetron-IMAGINATION-PROXIA-E-STIT
✭ MAGNETRON ™ ✭: For making an IMAGINATION PROXIA. Stitch it in Time: GAN-Based Facial Editing of Real Videos. It can apply semantic manipulations to real facial videos without requiring any temporal components.
Language:Python 1 - magnetron-IMAGINATION-PROXIA-F-glide-text2im
✭ MAGNETRON ™ ✭: Can be used to make IMAGINATION PROXIA in ARTIFICIAL INTELLIGENCE 2.0 ™. Can do conditional inpainting with text prompts. GLIDE: a diffusion-based text-conditional image synthesis model
Language:Python 1 - magnetron-IMAGINATION-PROXIA-G-Dreambooth-Stable-Diffusion
✭ MAGNETRON ™ ✭: Implementation of Google's Dreambooth (with Stable Diffusion model) instead of IMAGEN (for making MAGNETRON ™ TECHNOLOGY IMAGINATION PROXIA). In particular this can be used to mimic the appearance of subjects in a given reference set and synthesize novel renditions of them in different contexts.
Language:Python 1 ✭ MAGNETRON ™ ✭: Github of the FaceForensics dataset. Detect DeepFakes. It's important for robots to not be tricked by digital media.
Language:Python 1- magnetron-nuclei
✭ MAGNETRON ™ ✭: Fast and customizable vulnerability scanner based on simple YAML based DSL.
Language:Go 1 - magnetron-OpenFace
✭ MAGNETRON ™ ✭: EMOTION DETECTION and more. OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Language:MATLAB 1 - magnetron-openpose
✭ MAGNETRON ™ ✭: OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation. Can be used to make a POSE ESTIMATION PROXIA.
Language:C++ 1 - magnetron-semantic-segmentation
MAGNETRON ™ ✭: Nvidia Semantic Segmentation Semantic Segmentation for making a MASKING PROXIA in the ARTIFICIAL INTELLIGENCE 2.0 ™ Framework. ARTIFICIAL INTELLIGENCE 2.0 ™ is part of MAGNETRON ™ TECHNOLOGY.
Language:Python 1 - magnetron-subfinder
✭ MAGNETRON ™ ✭: Subfinder is a subdomain discovery tool that discovers valid subdomains for websites. Designed as a passive framework to be useful for bug bounties and safe for penetration testing.
Language:Go 1 - magnetron-wireshark
✭ MAGNETRON ™ ✭: Read-only mirror of Wireshark's Git repository at https://gitlab.com/wireshark/wireshark. GitHub won't let us disable pull requests. ☞ THEY WILL BE IGNORED HERE ☜ Please upload them at GitLab. This repository is for MAGNETRON ™ Network (CloudNet) Security & Automated Network (CloudNet) Cybersecurity.
Language:C 1 - magnetron-yolov5
✭ MAGNETRON ™ ✭: YOLOv5 🚀 OBJECT DETECTION PROXIA (and more) creation in PyTorch > ONNX > CoreML > TFLite
Language:Python 1 - magnetron-yolov7
✭ MAGNETRON ™ ✭: YOLOv7 is a platform for PROXIA that can do POSE ESTIMATION, object detection, segmentation and other visual recognition tasks.
Language:Python 1 - magnetron.artificial-intelligence-2.0.mincloud.proxia--ASTRAL_VISION-C
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA (C) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 1 - magnetron.artificial-intelligence-2.0.mincloud.proxia--ASTRAL_VISION-C-2
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an ASTRAL VISION PROXIA (C-2) for POSE ESTIMATION when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 1 - magnetron.artificial-intelligence-2.0.mincloud.proxia--BRAIN-MAIN
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a BRAIN PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 1 - magnetron.artificial-intelligence-2.0.mincloud.proxia--IMAGINATION-G
✭ MAGNETRON ™ ✭: Implementation of Google's Dreambooth (with Stable Diffusion model) instead of IMAGEN (for making MAGNETRON ™ TECHNOLOGY IMAGINATION PROXIA). In particular this can be used to mimic the appearance of subjects in a given reference set and synthesize novel renditions of them in different contexts.
Language:Jupyter Notebook 1 - magnetron.artificial-intelligence-2.0.mincloud.proxia--IMAGINATION-G2
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing an IMAGINATION (G2) PROXIA when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 1 - magnetron.artificial-intelligence-2.0.mincloud.proxia--INSTINCTIVE-MIND-5-2B
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a VOICE PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY).
Language:Jupyter Notebook 1 - magnetron.artificial-intelligence-2.0.mincloud.proxia--INSTINCTIVE-MIND-6
✭ MAGNETRON ™ ✭: This is a Google Colab/Jupyter Notebook for developing a FACE RECOGNITION PROXIA (B) when working with ARTIFICIAL INTELLIGENCE 2.0 ™ (ARTIFICIAL INTELLIGENCE 2.0™ is part of MAGNETRON ™ TECHNOLOGY)
Language:Jupyter Notebook 1 - metasploitable3
✭ MAGNETRON ™ ✭: Metasploitable3 is a VM that is built from the ground up with a large amount of security vulnerabilities for practice.
Language:HTML 1