Visualizer for neural network, deep learning and machine learning models
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The Cloud Native AI Platform
- ml
- kubernetes
- minikube
- tensorflow
stable diffusion webui colab
- stable-diffusion
- stable-diffusion-web-ui
- stable-diffusion-webui
- colab
Fast and Accurate ML in 3 Lines of Code
Deep universal probabilistic programming with Python and PyTorch
- python
- pytorch
- machine-learning
- bayesian
A scikit-learn compatible neural network library that wraps PyTorch
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
- cntk
- visualization
- tensorflow
- model-converter
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
A highly efficient implementation of Gaussian Processes in PyTorch
- pytorch
- gaussian-processes
- gpu-acceleration
Fast, flexible and easy to use probabilistic modelling in Python.
- python
- machine-learning
- probabilistic-graphical-models
- pytorch
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)
- pytorch
- graph-neural-networks
- temporal-networks
- temporal-graphs
An open source DevOps tool from the CNCF for packaging and versioning AI/ML models, datasets, code, and configuration into an OCI Artifact.
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
- bayesian-inference
- deep-learning
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
- fine-tuning
- vgg16
- resnet18
- densenet121
MCP server for spatial transcriptomics analysis through natural language interfaces.
- bioinformatics
- cell-communication
- deconvolution
- machine-learning