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
NEAT implementation in Lua for Mario Kart 64 and the BizHawk emulator
Playing SuperMario via flow-based curiosity exploration & RL agent.
Paper list of multi-agent reinforcement learning (MARL)
MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification
Fast genome and metagenome distance estimation using MinHash
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Fast, modular reference implementation of Semantic Segmentation and Object Detection algorithms in PyTorch.
Codes for paper "Mask Scoring R-CNN".
Big Data vs. complex physical models - a scalable nested sampling inference algorithm for many data sets
Write PyTorch code at the level of individual examples, then run it efficiently on minibatches.
a pytorch implementation of match lstm question answering model
Machine Learning Toolkit for Extreme Scale (MaTEx)
Topics course Mathematics of Deep Learning, NYU, Spring 18
Step by steps math solutions for everyone
Code for learning collision checking policies using Bayesian active learning
PyTorch implementation for MatrixNet object detection architecture.
Experiments with deep convolutional generative models
Matterport3D is a pretty awesome dataset for RGB-D machine learning tasks :)
AI Research Platform for Reinforcement Learning from Real Panoramic Images.
Fastidious accounting of entropy streams into and out of optimization and sampling algorithms.
Simple environment for creating very simple 2D games and training neural network models to perform tasks within them
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
Multiscale Combinatorial Grouping - State-of-the-art Object Proposals and Segmentation
Learning Multi-Domain Convolutional Neural Networks for Visual Tracking
Source code for "Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results"
Here we describe a new approach to train a video captioning neural network , that is not only based on the normal cross entropy loss for the caption but also uses the meaning of the caption.
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.