Visualizer for neural network, deep learning and machine learning models
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♾ A Graph Visualization Framework in JavaScript.
- graph-drawing
- tree
- network
- graph
Graph theory (network) library for visualisation and analysis
- cytoscapejs
- graph-theory
- visualisation
- analysis
Learning Convolutional Neural Networks with Interactive Visualization.
- deep-learning
- visualization
- interactive-visualizations
- visual-learning
🦄 Sourcerer app makes a visual profile from your GitHub and git repositories.
- sourcerer
- profile
- kotlin
- git
A scikit-learn compatible neural network library that wraps PyTorch
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Python Toolkit for Causal and Probabilistic Reasoning
- python
- bayesian-networks
- causal-inference
- causal-discovery
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
React data visualization library for streaming, networks, and AI-assisted development
- nteract
- visualization
- d3
- react
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
Koç University deep learning framework.
- knet
- deep-learning
- julia
- machine-learning
A collection of computer vision pre-trained models.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
- matrix
- linear-algebra
- ndarray
- statistical-functions
Detecting Text in Natural Image with Connectionist Text Proposal Network (ECCV'16)
- ocr
- text-detection
NFStream: a Flexible Network Data Analysis Framework.
- data-science
- data-analysis
- data-mining
- network-analysis
GraphFrames is a package for Apache Spark which provides DataFrame-based Graphs
- apache-spark
- big-data
- connected-components
- dataframe
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
- seq2seq
- tensorflow
- tensorflow-tutorials
- python
Python package for graph statistics
- graph
- data-science
- networks
- python
Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano
Rich-powered CLI that breaks each HTTP request into DNS, connect, TLS, wait, and transfer phases with waterfall timelines, compact summaries, or metrics-only output.
Precision Medicine Knowledge Graph (PrimeKG)
- knowledge-graph
- precision-medicine
- therapeutics
- bioinformatics
CNN visualization tool in TensorFlow
- tensorflow
- tensorboard
- convolutional-neural-networks
- cnn
A knowledge graph and a set of tools for drug repurposing
- drug-repurposing
- knowledge-graph
- graph-neural-networks
- knowledge-graph-embeddings