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A two-stage transfer learning code in MATLAB
Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano
This repository contains the codes of the experiments in Paper An Information-theoretic Metric of Transferability for Task Transfer Learning
Codes for designing adaptive Neural Contraction Metrics (aNCMs)
Awesome Quadrupedal Robots
Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)
Bayesian (Semi-)Supervised Multilabel Learning
Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017
Code for ICCV2021 paper: Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
Scripts used for the CMG reinforcement learning control project
Correlation Alignment for Domain Adaptation
Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018
Codes for designing ConVex Optimization-based Stochastic steady-state Tracking Error Minimization (CV-STEM) Control
Ready to use implementations of various Deep Learning algorithms using TensorFlow.
Implementation of recent Deep Learning papers
Deep Learning Tutorial notes and code. See the wiki for more info.
Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
pix2pix demo that learns from facial landmarks and translates this into a face
The world's simplest facial recognition api for Python and the command line
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)
From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains
GM-PHD filter in target tracking
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
Zero-shot image tagging by hierarchical semantic embedding
Sentence embeddings (InferSent) and training code for NLI.
A python implementation of right invariant kalman fillter; The case includes legged robots with IMU and contact sensors
Joint distribution optimal transportation for domain adaptation
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.