Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
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Build Graph Nets in Tensorflow
A PyTorch Library for Accelerating 3D Deep Learning Research
Dark Web OSINT Tool
Image augmentation library in Python for machine learning.
An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
A collection of important graph embedding, classification and representation learning papers with implementations.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
A unified, comprehensive and efficient recommendation library
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Scalable and user friendly neural :brain: forecasting algorithms.
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Network recon framework. Build your own, self-hosted and fully-controlled alternatives to Shodan / ZoomEye / Censys and GreyNoise, run your Passive DNS service, build your taylor-made EASM tool, collect and analyse network intelligence from your sensors, and much more! Uses Nmap, Masscan, Zeek, p0f, ProjectDiscovery tools, etc.
Interactive Image Generation via Generative Adversarial Networks
Lightweight library to build and train neural networks in Theano
Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
A best practice for tensorflow project template architecture.
Neural Network to colorize grayscale images
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Python Toolkit for Causal and Probabilistic Reasoning
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks