Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
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StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
Like nmap for mapping wifi networks you're not connected to, plus device tracking
- hacking
- wireless
- python
- scapy
Deep neural network to extract intelligent information from invoice documents.
- invoice
- invoice-management
- invoices
- invoice-insight
Malcolm is a powerful, easily deployable network traffic analysis tool suite for full packet capture artifacts (PCAP files), Zeek logs and Suricata alerts.
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
Graph Neural Networks with Keras and Tensorflow 2.
- graph-neural-networks
- keras
- python
- tensorflow
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Transform geospatial relations into graphs for Graph Neural Networks and spatial network analysis
- network-analysis
- spatial-analysis
- geographical-information-system
- graph-neural-networks
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
- convolutional-neural-networks
- motion-tracking
- color-detection
- face-detection
Distributed Deep learning with Keras & Spark
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
Python interface for igraph
- complex-networks
- graph-algorithms
- graph-theory
- mathematics
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
- pointcloud
- convolutional-neural-networks
- deep-neural-networks
- machine-learning
Official PyTorch implementation of VisionHOPE: Visual Backbones as Self-Modifying Learning Systems.
- backbone
- computer-vision
- image-classification
- backbone-networks
Fast, flexible and fun neural networks.
Library for Fast and Flexible Human Pose Estimation
- tensorlayer
- tensorflow
- openpose
- pose-estimation
Brian is a free, open source simulator for spiking neural networks.
- python
- neuroscience
- science
- differential-equations
A Theano framework for building and training neural networks
An autoML framework & toolkit for machine learning on graphs.
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
- tensorflow
- matconvnet
- depth-maps
- depth-prediction
Python package for graph statistics
- graph
- data-science
- networks
- python
Hacking Toolkit
- network-analysis
- networking
- scapy
- python3