wjy + machinelearning   127

iperov/DeepFaceLab: DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).
ai  video  faceswap  python  machinelearning 
5 weeks ago by wjy
CoCalc - Collaborative Calculation in the Cloud
CoCalc is a sophisticated online workspace
CoCalc supports Jupyter notebooks and SageMath worksheets.

Fully managed Python and R Statistics environments provide a lot of packages/libraries out of the box.

It is also possible to edit LaTeX files and R documents right inside your browser.

A full Linux terminal and an environment to run graphical applications complete CoCalc as a very versatile platform.

Beyond that, CoCalc is made for teaching a class online! Avoid the hassle of installing software on every student's machine and help your students more precsely by collaborating on their notebooks.
cloud  jupyter  notebook  python  math  machinelearning 
8 weeks ago by wjy
Neural networks in JavaScript | Scrimba.com
Neural networks in JavaScript
A fun and practical introduction to building neural networks with Brain.js
javascript  course  machinelearning  js  brain.js 
december 2018 by wjy
PySyft/examples/tutorials at master · OpenMined/PySyft
Part 1: The Basic Tools of Private, Decentralized Data Science
Part 2: Intro to Federated Learning
Part 3: Advanced Remote Execution Tools
Part 4: Federated Learning via Trusted Aggregator
Part 5: Intro to Encrypted Programs
Part 6: Build an Encrypted, Decentralized Database
Part 7: Build an Encrypted, Decentralized Ledger
Part 8: Federated Learning - Encrypted Gradient Aggregation
Part 9: Train an Encrypted Neural Network on Encrypted Data
privacy  security  machinelearning  ai  blockchain  decentralized 
december 2018 by wjy
Propel ML
Propel provides a GPU-backed numpy-like infrastructure for scientific computing in JavaScript. JavaScript is a fast, dynamic language which, we think, could act as an ideal workflow for scientific programmers of all sorts.
javascript  js  machinelearning  gpu 
february 2018 by wjy
Detectron – Facebook Research
Detectron is Facebook AI Research’s (FAIR) software system that implements state-of-the-art object detection algorithms, including Mask R-CNN. It is written in Python and powered by the Caffe2 deep learning framework.
machinelearning  facebook  opensource  ai  objectdetection  awesome  python 
january 2018 by wjy
Chainer: A flexible framework for neural networks
A Powerful, Flexible, and Intuitive Framework for Neural Networks
framework  python  machinelearning  deeplearning 
january 2018 by wjy
Welcome to Apache PredictionIO™!
Apache PredictionIO is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you:

quickly build and deploy an engine as a web service on production with customizable templates;
respond to dynamic queries in real-time once deployed as a web service;
evaluate and tune multiple engine variants systematically;
unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics;
speed up machine learning modeling with systematic processes and pre-built evaluation measures;
support machine learning and data processing libraries such as Spark MLLib and OpenNLP;
implement your own machine learning models and seamlessly incorporate them into your engine;
simplify data infrastructure management.
opensource  ai  machinelearning  prediction  apache  spark  mllib  hbase  spray 
november 2017 by wjy
H2O is the world’s leading open source deep learning platform. H2O is used by over 100,000 data scientists and more than 10,000 organizations around the world.
opensource  ai  machinelearning  artificialintelligence  platform  deeplearning 
october 2017 by wjy
PAIR-code/facets: Visualizations for machine learning datasets
The facets project contains two visualizations for understanding and analyzing machine learning datasets: Facets Overview and Facets Dive.

The visualizations are implemented as Polymer web components, backed by Typescript code and can be easily embedded into Jupyter notebooks or webpages.

Live demos of the visualizations can be found on the Facets project description page.
data  machinelearning  github  polymer  webcomponents  visualization 
october 2017 by wjy
a hardware-accelerated
machine intelligence
library for the web
javascript  js  deeplearning  machinelearning  ml  browser  webgl  tensorflow 
august 2017 by wjy
Keras Documentation
Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow, CNTK or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.
python  machinelearning  tensorflow  ai  library  ml  deeplearning  keras 
june 2017 by wjy
Welcome | Clarifai Developer
Clarifai is an artificial intelligence company that excels in visual recognition, solving real-world problems for businesses and developers alike. Founded in 2013 by Matthew Zeiler, a foremost expert in machine learning, Clarifai has been a market leader since winning the top five places in image classification at the ImageNet 2013 competition. Clarifai’s powerful image and video recognition technology is built on the most advanced machine learning systems and made easily accessible by a clean API, empowering developers all over the world to build a new generation of intelligent applications.
api  ai  deeplearning  machinelearning  cv  computervision 
april 2017 by wjy
Synaptic - The javascript neural network library
The javascript architecture-free neural network library for node.js and the browser
library  javascript  neuralnetworks  js  ai  machinelearning  browser 
march 2017 by wjy
Floyd Zero Setup Deep Learning
FloydHub is Heroku for DL
Platform-as-a-Service for training and deploying your DL models in the cloud. Start running your first project in < 30 sec! Floyd takes care of the grunt work so you can focus on the core of your problem.
cloud  machinelearning  deeplearning  tensorflow  service 
february 2017 by wjy
Learn TensorFlow and deep learning, without a Ph.D. | Google Cloud Big Data and Machine Learning Blog  |  Google Cloud Platform
This 3-hour course (video + slides) offers developers a quick introduction to deep-learning fundamentals, with some TensorFlow thrown into the bargain.
google  learning  machinelearning  deeplearning  tensorflow  resources 
january 2017 by wjy
Deep Learning
The Deep Learning textbook is a resource intended to help students and practitioners enter the field of machine learning in general and deep learning in particular. The online version of the book is now complete and will remain available online for free.

book  ai  machinelearning  deeplearning  books  math 
january 2017 by wjy
Tensors and Dynamic neural networks in Python
with strong GPU acceleration.

PyTorch is a deep learning framework that puts Python first.
python  machinelearning  ai  deeplearning  gpu  cuda 
january 2017 by wjy
OpenAI Gym
Open source interface to reinforcement learning tasks.
The gym open-source project provides a simple interface to a growing collection of reinforcement learning tasks. You can use it from Python, and soon from other languages.
algorithms  ai  machinelearning  resources 
january 2017 by wjy
OpenAI Universe
A software platform for evaluating and training intelligent agents across the world’s supply of games, websites and other applications.
framework  research  ai  machinelearning 
january 2017 by wjy
GTA V + Universe
The Universe integration with Grand Theft Auto V, built and maintained by Craig Quiter's DeepDrive project, is now open-source. To use it, you'll just need a purchased copy of GTA V, and then your Universe agent will be able to start driving a car around the streets of a high-fidelity virtual world.

GTA V in Universe gives AI agents access to a rich, 3D world. This video shows the frames fed to the agent (artificially slowed to 8FPS, top left), diagnostics from the agent and environment (bottom left), and a human-friendly free camera view (right). The integration modifies the behavior of people within GTA V to be non-violent.
opensource  ai  gaming  machinelearning  awesome 
january 2017 by wjy
A Guide to Deep Learning by YerevaNN
Deep learning is a fast-changing field at the intersection of computer science and mathematics. It is a relatively new branch of a wider field called machine learning. The goal of machine learning is to teach computers to perform various tasks based on the given data. This guide is for those who know some math, know some programming language and now want to dive deep into deep learning.
tutorial  ai  machinelearning  ml  guide 
january 2017 by wjy
Quick, Draw!
Can a neural network learn to recognize doodles?
See how well it does with your drawings and help teach it, just by playing.
google  ai  drawing  machinelearning  cool  awesome 
november 2016 by wjy
Welcome to Lasagne — Lasagne 0.2.dev1 documentation
Lasagne is a lightweight library to build and train neural networks in Theano.
python  machinelearning  neuralnetworks  theano  library 
september 2016 by wjy
Caffe | Deep Learning Framework
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by the Berkeley Vision and Learning Center (BVLC) and by community contributors. Yangqing Jia created the project during his PhD at UC Berkeley. Caffe is released under the BSD 2-Clause license.
framework  software  machinelearning  deeplearning  ml 
september 2016 by wjy
CNTK - Computational Network Toolkit
Production-quality, Open Source, Multi-machine, Multi-GPU,
Highly efficient RNN training,
Speech, Image, Text
machinelearning  cntk  gpu  microsoft  deeplearning 
september 2016 by wjy
A Neural Network Playground
This was created by Daniel Smilkov and Shan Carter. This is a continuation of many people’s previous work — most notably Andrej Karpathy’s convnet.js and Chris Olah’s articles about neural networks. Many thanks also to D. Sculley for help with the original idea and to Fernanda Viégas and Martin Wattenberg and the rest of the Big Picture and Google Brain teams for feedback and guidance.
tensorflow  demo  browser  neuralnetwork  neuralnetworks  machinelearning  deeplearning 
april 2016 by wjy
leaf - Rust
Leaf is a open, modular and clear-designed Machine Intelligence Framework providing state-of-the-art performance for distributed (Deep|Machine) Learning - sharing concepts from Tensorflow and Caffe. An important module in Leaf is the backend-agnostic, high-performance computation Framework Collenchyma, which combines performance and usability for Leaf Networks. This allows you to run and deploy Leaf Networks to servers, desktops or even mobiles using the full available computation power of GPUs or other CUDA/OpenCL supported devices for the learning of your Networks. And if your machine does not have a GPU or you do not want to install CUDA/OpenCL on your local machine, Leaf will gracefully fall back to your native host CPU.
rust  machinelearning  neuralnetwork  leaf  framework  collenchyma  gpu 
march 2016 by wjy
Deep Dream - Online Generator
Google has spent the last few years teaching computers how to see, understand, and appreciate our world. It's an important goal that the search giant hopes will allow programs to classify images just by "looking" at them. And this is where Google's deep dream ideas originate. With simple words you give to an AI program a couple of images and let it know what those images contain ( what objects - dogs, cats, mountains, bicycles, ... ) and give it a random image and ask it what objects it can find in this image. Then the program start transforming the image till it can find something similar to what it already knows and thus you see strange artifacts morphing in the dreamed image ( like eyes or human faces morphing in image of a pyramid ).
google  dream  machinelearning  visualization  ai  generator 
february 2016 by wjy
AI generated music to improve focus, relaxation and sleep
music  ai  machinelearning  awesome  !awesome 
february 2016 by wjy
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