qetdr's Stars
chrisby/prometheusCV
The non-template for academic CVs in latex
reflex-dev/reflex
🕸️ Web apps in pure Python 🐍
ShishirPatil/gorilla
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)
bregman-arie/devops-exercises
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
liantze/AltaCV
Yet another alternative curriculum vitae/résumé class with LaTeX
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
ourownstory/swiss-cheese
Collection of important and useful coding tricks, tips and knowledge for people with a memory like Swiss cheese.
hoanganhngo610/river-clustering-demo-2022
This repository serves as a demo for River and its associated clustering module (2022 edition).
scikit-multiflow/streaming-datasets
A collection of data sets for stream learning.
Kanaries/pygwalker
PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis
hthon3/sensor-based-smartwatch-gesture-recognition
MaxHalford/taxi-demo-rp-mz-rv-rd-st
🚕 Self-contained demo using Redpanda, Materialize, River, Redis, and Streamlit to predict taxi trip durations
online-ml/river-extra
Extra functionalities for river
HDI-Project/ATMSeer
Visual Exploration of Automated Machine Learning with ATMSeer
DEAP/deap
Distributed Evolutionary Algorithms in Python
grazianomita/machine_learning_interpretability_papers
This is a public collection of papers related to machine learning model interpretability.
Bilgecelik/continual-automl
Adaptations of AutoML libraries H2O, Autosklearn and GAMA for stream learning
openml-labs/gama
An automated machine learning tool aimed to facilitate AutoML research.
py-why/dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
jphall663/awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
online-ml/beaver
🦫 MLOps for (online) machine learning
online-ml/awesome-online-machine-learning
:bookmark_tabs: Online machine learning resources
online-ml/river
🌊 Online machine learning in Python
AlexImb/automl-streams
AutoML framework for implementing automated machine learning on data streams
d009/EstNLP
Materials for the course Processing Estonian Language in Python
estnltk/estnltk
Open source tools for Estonian natural language processing