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awesome-deep-learning-papers

The most cited deep learning papers

bw_web_builds

Web vault builds for vaultwarden

data-science

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

deep-learning-keras-tf-tutorial

Learn deep learning with tensorflow2.0, keras and python through this comprehensive deep learning tutorial series. Learn deep learning from scratch. Deep learning series for beginners. Tensorflow tutorials, tensorflow 2.0 tutorial. deep learning tutorial python.

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

directory-connector

A tool for syncing a directory (AD, LDAP, Azure, G Suite, Okta) to an organization.

drl-flappybird

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

human-robot-motion-simulator-based-on-lie-group

This is the simulator for the robot or human motion

ifood-marketing-analysis

An analysis that provides business insights and proposal to optimize results together with predictive models

incubator-kie-tools

Tools for KIE

machinelearning

Basic Machine Learning and Deep Learning

opendevin

🐚 OpenDevin: Code Less, Make More

phoenix

🔥 Puter's pure-javascript shell

python_library

sm-action

Github Action for Secrets Manager

sql_concepts

statistical-learning-method_code

手写实现李航《统计学习方法》书中全部算法

topdeeplearning

A list of popular github projects related to deep learning

vaultwarden

Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs

vaultwarden-ansible-podman

Ansible role to install vaultwarden using nginx as proxy and postgres as database

vgg-multiple-view-geometry

A set of MATLAB utilities for multiple view geometry, provided alongside Hartley & Zisserman's "Multiple View Geometry in Computer Vision, Second Edition" (2004). Obtained from http://www.robots.ox.ac.uk/~vgg/hzbook/code/.