hugobettmach

hugobettmach's Stars

• MilesCranmer/PySR

  High-Performance Symbolic Regression in Python and Julia

  Language:Python2.1k197

• DavidVujic/python-polylith

  Tooling support for the Polylith Architecture in Python.

  Language:Python32020

• mtkennerly/poetry-dynamic-versioning

  Plugin for Poetry to enable dynamic versioning based on VCS tags

  Language:Python58836

• karpathy/micrograd

  A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

  Language:Jupyter Notebook9.4k1.3k

• 17000cyh/IMDiffusion

  Language:Python537

• equinor/gordo-core

  Gordo core library

  Language:Python45

• KatieBuc/gnnad

  Graph Neural Network-Based Anomaly Detection

  Language:Python242

• commitizen-tools/commitizen

  Create committing rules for projects :rocket: auto bump versions :arrow_up: and auto changelog generation :open_file_folder:

  Language:Python2.3k250

• cerlymarco/MEDIUM_NoteBook

  Repository containing notebooks of my posts on Medium

  Language:Jupyter Notebook2k975

• Azure/mlops-v2

  Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

  Language:Shell478225

• CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

  aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

  Language:Jupyter Notebook26.5k7.8k

• tensorflow/models

  Models and examples built with TensorFlow

  Language:Python76.8k45.8k

• argoproj/argo-workflows

  Workflow Engine for Kubernetes

  Language:Go14.6k3.1k

• imperial-qore/TranAD

  [VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

  Language:Python473145

• LukasZahradnik/PyNeuraLogic

  PyNeuraLogic lets you use Python to create Differentiable Logic Programs

  Language:Python27217

• NetManAIOps/OmniAnomaly

  KDD 2019: Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

  Language:Python699189

• ML4ITS/mtad-gat-pytorch

  PyTorch implementation of MTAD-GAT (Multivariate Time-Series Anomaly Detection via Graph Attention Networks) by Zhao et. al (2020, https://arxiv.org/abs/2009.02040).

  Language:Python31170

• unit8co/darts

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

  Language:Python7.6k829

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python4.8k530

• google/model_search

  Language:Python3.3k468

• tensorflow/probability

  Probabilistic reasoning and statistical analysis in TensorFlow

  Language:Jupyter Notebook4.2k1.1k

• 8080labs/ppscore

  Predictive Power Score (PPS) in Python

  Language:Python1.1k162

• sdv-dev/SDV

  Synthetic data generation for tabular data

  Language:Python2.2k288

• plaidml/plaidml

  PlaidML is a framework for making deep learning work everywhere.

  Language:C++4.6k400

• firmata/protocol

  Documentation of the Firmata protocol.

  987149

• deepcharles/ruptures

  ruptures: change point detection in Python

  Language:Python1.5k160

• ryantam626/jupyterlab_code_formatter

  A JupyterLab plugin to facilitate invocation of code formatters.

  Language:Python82252

• google-research/football

  Check out the new game server:

  Language:Python3.3k1.3k

• shoumikchow/bbox-visualizer

  Make drawing and labeling bounding boxes easy as cake

  Language:Python37929

• Azure/MachineLearningNotebooks

  Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

  Language:Jupyter Notebook4k2.5k