ml-lab Goto Github PK
Type: Organization
Bio: forks of interesting repos relating to machine learning
Type: Organization
Bio: forks of interesting repos relating to machine learning
The official PyTorch implementation of the paper "Learning by Analogy: Reliable Supervision from Transformations for Unsupervised Optical Flow Estimation".
Code for our paper "Visual Learning of Arithmetic Operations" AAAI 16'
Provides a function to write a NumPy array to a GIF, or a list of arrays to an animated GIF.
Augmented Random Search for Data Augmentation
A basic Augmented Reality shooter made with ARKit in Swift (iOS 11)
Modified implementation of DCGAN focused on generative art.
Benchmarking Generative Models with Artworks
Artemis aims to get rid of all the boring, bureaucratic coding (plotting, file management, organizing experiments, etc) involved in machine learning projects, so you can get to the good stuff quickly.
🗣️ Tool to generate adversarial text examples and test machine learning models against them
A collection of Methods and Models for various architectures of Artificial Neural Networks
Pytorch implementation of Paper "Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning"
Appearance-and-Relation Networks
AQUA dataset and VIKING model for the task of Art Visual Question Answering
Exploratory analysis of Bayesian models with Python
A every-so-often-updated collection of every causality + machine learning paper submitted to arXiv in the recent past.
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
Amino-Acid Sequence Annotation Predictor
ASAP: Prioritizing Attention via Time Series Smoothing
Associatively Segmenting Instances and Semantics in Point Clouds
Assistive and Rehabilitative Robotics
LSTM with associative memory cells (http://arxiv.org/abs/1602.03032)
ASTER in Pytorch
[ACCV 2018 Oral] Dual Generator Generative Adversarial Networks for Multi-Domain Image-to-Image Translation
Replicating "Asynchronous Methods for Deep Reinforcement Learning" (http://arxiv.org/abs/1602.01783)
Tensorflow + Keras + OpenAI Gym implementation of 1-step Q Learning from "Asynchronous Methods for Deep Reinforcement Learning"
Asynchronous Methods for Deep Reinforcement Learning
Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.
A packaged and slightly-modified version of https://github.com/bbitmaster/ale_python_interface
Atari gauntlet for RL agents
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.