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Scrapegraph-ai

Python scraper based on AI

PyPortfolioOpt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

amazon-bedrock-rag-workshop

Workshop Studio

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

CogVLM

a state-of-the-art-level open visual language model | 多模态预训练模型

gpt4all

GPT4All: Chat with Local LLMs on Any Device

ColossalAI

Making large AI models cheaper, faster and more accessible

YugiohAi

A Yugioh Ai Learning bot

python-project-template

DO NOT FORK, CLICK ON "Use this template" - A github template to start a Python Project - this uses github actions to generate your project based on the template.

MaxCut-QAOA

A Quantum Approximation algorithm for finding the Max-Cut of directed weighted graphs.

poc-pdf-textract

Building an OCR solution for document analysis with AWS Textract and AWS StepFunction

mutual-information-feature-selection

Use mutual information to select features in a Titanic data set

knncmi

This python code estimates conditional mutual information (CMI) and mutual information (MI) for discrete and/or continuous variables using a nearest neighbors approach.

MLOps-Basics

splink

Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends

dedupe

:id: A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.

sagemaker-notebook-container

Docker images that replicate the Amazon SageMaker Notebook instance.

mlops-workload-orchestrator

The MLOps Workload Orchestrator solution helps you streamline and enforce architecture best practices for machine learning (ML) model productionization. This solution is an extendable framework that provides a standard interface for managing ML pipelines for AWS ML services and third-party services.

parrot-mania

Example project for "Getting started with Thorgate's SPA project template" blog post

tsfresh

Automatic extraction of relevant features from time series:

pytorch-template

PyTorch deep learning projects made easy.

ml_rest_api

A RESTful API to return predictions from a trained ML model, built with Python 3 and Flask-RESTX

pyspark-example-project

Implementing best practices for PySpark ETL jobs and applications.

pyspark-boilerplate-mehdio

Pyspark boilerplate for running prod ready data pipeline

MorphL-Community-Edition

MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

ntsa

Neural Time Series Analysis

Deep-Learning-Based-ECG-Annotator

Annotation of ECG signals using deep learning, tensorflow’ Keras

ecg-classification

Code for training and test machine learning classifiers on MIT-BIH Arrhyhtmia database

WTdelineator

Wavelet-based ECG delineator library implemented in python

BayesianOptimization

A Python implementation of global optimization with gaussian processes.