Stars
Algorithms for outlier, adversarial and drift detection
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
An awesome & curated list of best LLMOps tools for developers
Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud
This repository contains code samples for Vertex AI, including pipelines, metadata and more. Mainly with finance datasets.
PySpark test helper methods with beautiful error messages
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
😈Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness
Machine Learning and Computer Vision Engineer - Technical Interview Questions
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
a Lightweight library for sequential learning agents, including reinforcement learning
Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
A unified framework for machine learning with time series
10 Weeks, 20 Lessons, Data Science for All!
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
Lime: Explaining the predictions of any machine learning classifier
Collection of useful data science topics along with articles, videos, and code
Curso práctico: NLP de cero a cien 🤗
Intérprete de microdatos electorales del Ministerio del Interior español.
Python library for loading and using triangular meshes.
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
TensorFlow-based neural network library