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keras-resources

Directory of tutorials and open-source code repositories for working with Keras, the Python deep learning library

keyword-extraction

kirtanbhakti

kubernetes-failure-stories

Compilation of public failure/horror stories related to Kubernetes

kubernetes-in-codespaces

Inner loop Kubernetes development using Codespaces

language-modelling

Generating Text using Deep Learning in Python - LSTM, RNN, Keras

latex-docker

Docker-based latex compilation

latexcv

:necktie: A collection of cv and resume templates written in LaTeX. Leave an issue if your language is not supported!

lean

Lean Algorithmic Trading Engine by QuantConnect (C#, Python, F#)

learn-regex

Learn regex the easy way

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

learn_math_fast

This is the Curriculum for "How to Learn Mathematics Fast" By Siraj Raval on Youtube

learn_physics_in_2_months

This is the curriculum for "Learn Physics in 2 Months" by Siraj Raval on Youtube

learning-tutorials

All my learning paths will be stored in this Tutorial

learningtosee

learnopencv

Learn OpenCV : C++ and Python Examples

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

led_cube

8x8x8 LED cube powered by an arduino

libgdx-workshop

liblapin

Multimedia library for rookies and prototyping

library

Collection of various guides, books and papers.

lil-kubernetes-for-java

Kubernetes for Java Developers - LinkedIn Learning Course

linkedin-extractor

Given a Linkedin profie URL returns structured metadata.

liquibase

Main Liquibase Source

livescribe-offline-player

An offline player for livescribe 3 smart pens.

lookie-lookie

Learning to track eye movement in the browser

loupe

Visualizing the javascript runtime at runtime

lovecraftlstm

An LSTM in TensorFlow that tries to write like lovecraft

lstm_chem

Implementation of the paper - Generative Recurrent Networks for De Novo Drug Design.

lucid

A collection of infrastructure and tools for research in neural network interpretability.