alyssaq

alyssaq's Stars

• stephencwelch/Neural-Networks-Demystified

  Supporting code for short YouTube series Neural Networks Demystified.

  Language:Jupyter Notebook1.3k567

• openai/universe

  Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

  Language:Python7.5k951

• jesolem/PCV

  Open source Python module for computer vision

  Language:Python1.9k676

• lengstrom/fast-style-transfer

  TensorFlow CNN for fast style transfer ⚡🖥🎨🖼

  Language:Python10.9k2.6k

• openMVG/openMVG

  open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

  Language:C++5.8k1.7k

• 3b1b/manim

  Animation engine for explanatory math videos

  Language:Python73.9k6.5k

• jmschrei/pomegranate

  Fast, flexible and easy to use probabilistic modelling in Python.

  Language:Python3.4k589

• hemanth/functional-programming-jargon

  Jargon from the functional programming world in simple terms!

  18.6k1k

• kilimchoi/engineering-blogs

  A curated list of engineering blogs

  Language:Ruby32.1k1.7k

• markdregan/Bayesian-Modelling-in-Python

  A python tutorial on bayesian modeling techniques (PyMC3)

  Language:Jupyter Notebook2.5k414

• coreylynch/async-rl

  Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"

  Language:Python1k173

• jtoy/awesome-tensorflow

  TensorFlow - A curated list of dedicated resources http://tensorflow.org

  17.2k3k

• google/deepdream

  13.2k3.2k

• richzhang/colorization

  Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.

  Language:Python3.4k926

• netdata/netdata

  Architected for speed. Automated for easy. Monitoring and troubleshooting, transformed!

  Language:C72.9k6k

• mdda/pycon.sg-2015_deep-learning

  2015 PyCon (SG) Presentation :: 2016 version is 'deep-learning-workshop'

  Language:Jupyter Notebook4711

• mdda/deep-learning-workshop

  Deep Learning Workshop : Including a VirtualBox VM with pre-configured Jupyter, Tensorflow, PyTorch, models and data

  Language:Jupyter Notebook473121

• tensorflow/skflow

  Simplified interface for TensorFlow (mimicking Scikit Learn) for Deep Learning

  Language:Python3.2k439

• AnnaNican/optimizers

  examples of lp optimization in python

  Language:Python17186

• eerwitt/tensorflow-csv-to-api

  Train a feed forward neural network based on a CSV file using TensorFlow and then host the model as a REST API.

  Language:Python162

• liuliu/ccv

  C-based/Cached/Core Computer Vision Library, A Modern Computer Vision Library

  Language:C7.1k1.7k

• yongjun21/loess

  JavaScript implementation of the Locally-Weighted Regression package originally written in C by Cleveland, Grosse and Shyu (1992)

  Language:JavaScript4212

• drywallio/drywall-web

  GitHub Issues visualisation tool

  Language:JavaScript4

• web-animations/web-animations-js

  JavaScript implementation of the Web Animations API

  Language:JavaScript3.8k408

• AllenDowney/ThinkDSP

  Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

  Language:Jupyter Notebook4k3.3k

• nylas/nylas-perftools

  Distributed profiling on the cheap

  Language:JavaScript56358

• rlabbe/Kalman-and-Bayesian-Filters-in-Python

  Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

  Language:Jupyter Notebook17k4.2k

• ipython-books/cookbook-code

  [DEPRECATED] See the new edition:

  Language:Jupyter Notebook975454

• ilyabo/openvis-react

  Slides of the talk "Interactive Datavis with React: Taming the Complexity of the Changing State" presented at OpenVis in April 2015

  Language:JavaScript222

• simonswain/coldwar

  Cold War

  Language:JavaScript18935