sirsroka

lin_reg_sql

Multiple Linear Regression in Pure SQL. If it is possible, it must be done.

Workshop_Shopee

This materials is for Workshop Shopee on 22nd February 2020 about Data Science Learning

streamlit

Streamlit — A faster way to build and share data apps.

learnstorybook.com

Static site and content for Storybook tutorials

probability

Probabilistic reasoning and statistical analysis in TensorFlow

web-advertising

Web Advertising BG - https://www.w3.org/community/web-adv/

pyss3

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

Preprocessing_Techniques

causalml

Uplift modeling and causal inference with machine learning algorithms

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

pytrends

Pseudo API for Google Trends

sqlitebrowser

Official home of the DB Browser for SQLite (DB4S) project. Previously known as "SQLite Database Browser" and "Database Browser for SQLite". Website at:

export-archive-reddit-saved

Script to download Reddit saved posts. Website here:

shinydashboard

Shiny Dashboarding framework

rtb-papers

A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

ThirdLove-Tech-Blog

face-api.js

JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

neural-ode

Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations

ML-algorithms-python

This repository contains ML algorithms written in Python. :books: :snake:

DeepExplain

A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

client-hints-infrastructure

Specification for the Client Hints infrastructure - privacy preserving proactive content negotiation

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Curated-Resources

introtodeeplearning

Lab Materials for MIT 6.S191: Introduction to Deep Learning

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_down:

deep_learning_object_detection

A paper list of object detection using deep learning.

machine_learning_refined

Notes, examples, and Python demos for the 2nd edition of the textbook "Machine Learning Refined" (published by Cambridge University Press).

Tensorflow-Cookbook

Simple Tensorflow Cookbook for easy-to-use

ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models