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
C3D is a modified version of BVLC caffe to support 3D ConvNets.
Code for Unsupervised Learning via Meta-Learning.
A fork of Caffe with OpenMPI-based Multi-GPU (mainly data parallel) support for action recognition and more. More documentation please see the original readme.
Car autopilot software that uses C++, BVLC Caffe, OpenCV, and SFML
:crown: Supervised Semantics-preserving Deep Hashing (SSDH)
Caffe with heatmap regression & spatial fusion layers. Useful for any CNN image position regression task.
Implementation of PoseNet
Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling
This is re-implementation of "ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices"
Caffe2 is a lightweight, modular, and scalable deep learning framework.
This is a demo project that shows how you can utilize Caffe2's modular design and build a library on top of it.
Ongoing work that tries to re-implement DoReFa-Net in Caffe
Release code for light-weight calibrator: a separable component for unsupervised domain adaptation
Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation
Accurate geometric camera calibration with generic camera models
Camera Trace Erasing in CVPR 2020
Tools for training and running detectors and classifiers for wildlife images collected from motion-triggered cameras.
Benchmarking Canonical Evolution Strategies for Playing Atari
Continuous Augmented Positional Embeddings (CAPE) implementation for PyTorch
Continuous valued cellular automata.
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
A Tensorflow implementation of CapsNet(Capsules Net) in Hinton's paper Dynamic Routing Between Capsules
🎆 A visualization of the CapsNet layers to better understand how it works
A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".
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.