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
121–144 of 233 · Most stars
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
- caffe
- colorization
- automatic-colorization
- deep-learning
Accelerated deep learning R&D
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
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
- ai
- fairness-ai
- fairness
- fairness-testing
Multilingual Automatic Speech Recognition with word-level timestamps and confidence
Deep neural network to extract intelligent information from invoice documents.
- invoice
- invoice-management
- invoices
- invoice-insight
Automatic architecture search and hyperparameter optimization for PyTorch
- automl
- deep-learning
- tabular-data
- pytorch
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
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
A Python library for audio data augmentation. Useful for making audio ML models work well in the real world, not just in the lab.
An open source library and framework for deep learning on satellite and aerial imagery.
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
:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures
- deep-learning
- computer-vision
- speech-recognition
- 3d-convolutional-network
A curated list of data mining papers about fraud detection.
- fraud-detection
- fraud-prevention
- fraud-checker
- fraud-management
Interpretability and explainability of data and machine learning models
- explainable-ai
- explainable-ml
- trusted-ai
- trusted-ml
BirdNET analyzer for scientific audio data processing.
- bioacoustics
- birds
- birdsong
- acoustic-monitoring
Deep probabilistic analysis of single-cell and spatial omics data
- scrna-seq
- variational-bayes
- variational-autoencoder
- cite-seq
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
- healthcare
- data-mining
- deep-learning
- preprocessing
An offline deep reinforcement learning library
- deep-reinforcement-learning
- deep-learning
- pytorch
- offline-rl