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.
Repository Index
47,133 repositories indexed
97–120 of 345 · Most stars
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- caffe
- colorization
- automatic-colorization
- deep-learning
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
- tensorlayer
- tensorflow
- super-resolution
- gan
Python Toolkit for Causal and Probabilistic Reasoning
- python
- bayesian-networks
- causal-inference
- causal-discovery
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
TensorFlow (Python API) implementation of Neural Style
- style-transfer
- tensorflow
- convolutional-neural-network
- deep-learning
StellarGraph - Machine Learning on Graphs
- graphs
- machine-learning
- machine-learning-algorithms
- graph-convolutional-networks
Strict separation of config from code.
- python
- configuration-files
- environment-variables
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
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.
PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer
- graph
- visualization
- gpu
- graphistry
High level asynchronous concurrency and networking framework that works on top of either Trio or asyncio
- async-await
- trio
- asyncio
Network Automation and Programmability Abstraction Layer with Multivendor support
Message Passing Neural Networks for Molecule Property Prediction
- machine-learning
- chemistry
- neural-networks
- drug-discovery
Modern Honey Network
- hacktoberfest
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
Graph Neural Networks with Keras and Tensorflow 2.
- graph-neural-networks
- keras
- python
- tensorflow
A Flow-based Generative Network for Speech Synthesis
Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020)
- community-detection
- graph-clustering
- deepwalk
- networkx
Canarytokens helps track activity and actions on your network
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