likeai22 Goto Github PK

ab-testing

A/B Testing — A complete guide to statistical testing

ai-codereviewer

AI Code Reviewer: Enhance your GitHub workflow with AI-powered code review! Get intelligent feedback and suggestions on pull requests using OpenAI's GPT-4 API, improving code quality and saving developers time.

aider

aider is AI pair programming in your terminal

algorithms

A collection of algorithms and data structures

awesome-automl-and-lightweight-models

A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.

awesome-federated-machine-learning

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

awesome-time-series

Resources for working with time series and sequence data

big_data

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

bvp

c-for-data-science

C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.

cml

♾️ CML - Continuous Machine Learning | CI/CD for ML

cookbook

The Data Engineering Cookbook

data-collection-and-markup-workshops

data-engineer-roadmap

Roadmap to becoming a data engineer in 2021

data-engineering

Getting Started with Data Enngineering

data-pipeline-with-airflow

Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation, validation and loading of data from S3 -> Redshift -> S3

data-science-ipython-notebooks

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

datainsight

Dedicated area for the development of data insight in the area of predictive analytics from churn prediction, fraud detection, and general machine learning and artificial intelligence.

deep_learning_tf

deep learning with tensorflow (russian)

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

diagrams

:art: Diagram as Code for prototyping cloud system architectures

dl-course

Deep Learning with Catalyst

docker-compose-stacks

Contains all the docker-compose stacks I use for my testing and development work

docker-pytorch

A Docker image for PyTorch

ds_algorithms

etl

feast

The Open Source Feature Store for Machine Learning

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.