Build Graph Nets in Tensorflow

Official electron build of draw.io

A python library for user-friendly forecasting and anomaly detection on time series.

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Demonstration code for Scalable Probabilistic Matrix Factoriztion with Graph-Based Priors

Some code examples

Useful helpers for writing tests for your Python CLI program.

Visualizer for neural network, deep learning and machine learning models

Postman is an API platform for building and using APIs. Postman simplifies each step of the API lifecycle and streamlines collaboration so you can create better APIs—faster.

Sandbox for training deep learning networks

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Docker setup for ready-to-use Pytorch + Jupyter Notebook / JupyterLab

RelationNet++: Bridging Visual Representations for Object Detection via Transformer Decoder

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

⚡ A Fast, Extensible Progress Bar for Python and CLI

List of Dirty, Naughty, Obscene, and Otherwise Bad Words

PDFsam, a desktop application to split, merge, mix, rotate PDF files and extract pages

Experimental Codes for Collaborative Filtering with Graph Information: Consistency and Scalable Methods.

Kernelized Bayesian Matrix Factorization

Principal Metabolic Flux Mode Analysis

Graph Learning from Data

Implementing MCMC sampling from scratch in R for various Bayesian models

ELFI - Engine for Likelihood-Free Inference

Bayesian Factorization with Side Information in C++ with Python wrapper

Bayesian Data Analysis demos for R

Bayesian Data Analysis demos for Python

Bayesian Factorization with Side Information in C++ with Python wrapper

Bayesian multi-tensor factorization methods, with side information

recommendation system with python

A racing game intended for studying machine learning.