An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks
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Lightning ⚡️ fast forecasting with statistical and econometric models.
- time-series
- statistics
- forecasting
- arima
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
- keras
- deep-learning
- text-generation
- tensorflow
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Lightweight library to build and train neural networks in Theano
- deep-learning-library
- neural-networks
- python
- theano
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
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.
- caffe
- colorization
- automatic-colorization
- deep-learning
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
Deep neural network to extract intelligent information from invoice documents.
- invoice
- invoice-management
- invoices
- invoice-insight
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
A recurrent neural network designed to generate classical music.
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