rainalexotl

rainalexotl's Stars

• telegramdesktop/tdesktop

  Telegram Desktop messaging app

  Language:C++26.7k83214.6k5.3k

• ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

  500 AI Machine learning Deep learning Computer vision NLP Projects with code

  21.5k608605.3k

• lllyasviel/style2paints

  sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)

  Language:JavaScript18.1k5632142.1k

• mnielsen/neural-networks-and-deep-learning

  Code samples for my book "Neural Networks and Deep Learning"

  Language:Python16.3k1.1k06.6k

• wsvincent/awesome-django

  A curated list of awesome things related to Django

  Language:Python9.7k252481.3k

• sshahine/JFoenix

  JavaFX Material Design Library

  Language:Java6.3k2271.1k1.1k

• ncase/trust

  An interactive guide to the game theory of cooperation

  Language:JavaScript5.8k9999930

• ocaml/ocaml

  The core OCaml system: compilers, runtime system, base libraries

  Language:OCaml5.6k2067.5k1.1k

• ssloy/tinyraytracer

  A brief computer graphics / rendering course

  Language:C++5.1k6928335

• enochtangg/quick-SQL-cheatsheet

  A quick reminder of all SQL queries and examples on how to use them.

  4.9k11110723

• Skyscanner/SkyFloatingLabelTextField

  A beautiful and flexible text field control implementation of "Float Label Pattern". Written in Swift.

  Language:Swift4.1k99210540

• arguman/arguman.org

  Argument mapping and analysis platform

  Language:Python1.4k64258149

• aws/deep-learning-containers

  AWS Deep Learning Containers are pre-built Docker images that make it easier to run popular deep learning frameworks and tools on AWS.

  Language:Python1k56246470

• robotframework/HowToWriteGoodTestCases

  General guidelines for writing good test cases using Robot Framework

  413513192

• SIlver--/remindmebot-reddit

  Language:Python366151336

• fatiherikli/voxel

  Voxel design tool built on top of css transformations

  Language:JavaScript1977

• OCamlPro/tryocaml

  An interactive tutorial to begin learning with OCaml

  Language:JavaScript92148339

• ptocca/VennABERS

  Fast implementation of Venn-ABERS probabilistic predictors

  Language:Jupyter Notebook715316

• adactio/TheSession-data

  Data dumps from thesession.org

  69101611

• kaushil24/DS-Cookbook101

  A jupyter notebook having all most frequent used code snippet for daily data scienceoperations

  Language:Jupyter Notebook639015

• the-pudding/wiki-death-data

  Language:JavaScript496712

• TSkrebe/multiplayer-game

  Simple Java based online multiplayer game.

  Language:HTML304010

• Rend-o-matic/Rend-o-matic

  Rend-o-matic allows music groups to create a single video wall recording of a piece of music, where all of the individual submissions are captured separately on the performers' phone, tablet or laptop.

  27435

• ianscottknight/Musical-Genre-Classification-of-Song-Lyrics

  Language:Python24306

• dmolina/cec2019comp100digit

  Wrapper in Python for the CEC'2019 100 digit competition at http://cec2019.org/programs/competitions.html#cec-06

  Language:C++18234

• ian-howell/Mazes

  Create a maze using Prim's Algorithm and then solve it.

  Language:C++17306

• bentrevett/gradient-descent

  Let's learn gradient descent by using linear regression, logistic regression and neural networks!

  Language:Jupyter Notebook11302

• hatfieldm48/sports_animation

  A web application framework to visualize sports as a animation of player tracker data. The current build does this using a sample of data provided by the NFL NextGenStats from games during the 2018 season

  Language:JavaScript10111

• natgabb/Connect-Four-Server-and-Client-side

  Java server side game, and also a Java client game GUI that communicate with TCP. The client can either play single player, which means they will play against the server's AI, or they can play multiplayer, which means the client side will act as both Player One and Player Two (i.e Both players are playing on the same computer). All of the game logic resides in the server.

  Language:Java4205

• andacdemir/MultilayerPerceptron_MNIST_Classifier

  A multilayer perceptron to classify MNIST dataset.

  Language:Python1201