Make Your Company Data Driven. Connect to any data source, easily visualize, dashboard and share your data.

This is an official repo for fine-tuning SAM to customized medical images.

Practicals for the Data Train Course "Causal learning" 2021 (V Didelez)

🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects

Implementation of deep learning models for time series in PyTorch.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Automatic extraction of relevant features from time series:

A simple way to calibrate your neural network.

ruptures: change point detection in Python

A highly efficient implementation of Gaussian Processes in PyTorch

PyData Global 2020: Data processing pipelines for Small Big Data

Jupyter based slides for how to review production ready models

Model Error Analysis for scikit-learn models.

A basic implementation with GPy of an Automatic Bayesian Covariance Discovery (ABCD) system

📊 Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

Gin provides a lightweight configuration framework for Python

Visualizer for neural network, deep learning and machine learning models

Unofficial Implementation of RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series (AAAI 2019)

Signal SNR, periodicity, despike, and time registration accommodating N time series

Python Fire is a library for automatically generating command line interfaces (CLIs) from absolutely any Python object.

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, …

Fast, flexible and easy to use probabilistic modelling in Python.

Anomaly detection algorithm implemented at Twitter

Twitter's Anomaly Detection in Pure Python

🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams

Trend detection algorithms for Twitter time series data