manujdhariwal's Stars
scratchblocks/scratchblocks
Make pictures of Scratch blocks from text.
googlecreativelab/quickdraw-dataset
Documentation on how to access and use the Quick, Draw! Dataset.
magenta/magenta
Magenta: Music and Art Generation with Machine Intelligence
JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
diego-vicente/som-tsp
Solving the Traveling Salesman Problem using Self-Organizing Maps
paperjs/paper.js
The Swiss Army Knife of Vector Graphics Scripting – Scriptographer ported to JavaScript and the browser, using HTML5 Canvas. Created by @lehni & @puckey
regebro/svg.path
SVG path objects and parser
karpathy/reinforcejs
Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)
rlcode/reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
CodingTrain/website-archive
Archive of the Coding Train website (first version)
nodeGame/nodegame
Complete nodegame repository with examples and documentation
zuoxingdong/mazelab
A customizable framework to create maze and gridworld environments
ChristosChristofidis/awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
krishnakumarsekar/awesome-quantum-machine-learning
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
IPGP/scientific_python_cheat_sheet
simple overview of python, numpy, scipy, matplotlib functions that are useful for scientific work
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pymc-devs/pymc2
THIS IS THE **OLD** PYMC PROJECT (VERSION 2). PLEASE USE PYMC INSTEAD:
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
aikorea/awesome-rl
Reinforcement learning resources curated
chrisranderson/probabilistic-programming-resources
Things I've found useful for learning probabilistic programming.
mbelmonte/Point-OutWords
iPad software for communicative skills development in non-verbal or minimally verbal persons with autism
cs231n/cs231n.github.io
Public facing notes page
dive-into-machine-learning/dive-into-machine-learning
Free ways to dive into machine learning with Python and Jupyter Notebook. Notebooks, courses, and other links. (First posted in 2016.)
cs109/2015lab1
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
jrjohansson/scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.