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2s-tl

A two-stage transfer learning code in MATLAB

adda_mnist64

Adversarial Discriminative Domain Adaptation with MNIST 64x64 in Lasagne-Theano

an-information-theoretic-metric-of-transferability

This repository contains the codes of the experiments in Paper An Information-theoretic Metric of Transferability for Task Transfer Learning

ancm

Codes for designing adaptive Neural Contraction Metrics (aNCMs)

awesome_quadrupedal_robots

Awesome Quadrupedal Robots

bayesian-temperature-scaling

Code for "Well-calibrated Model Uncertainty with Temperature Scaling for Dropout Variational Inference" (NeurIPS Bayesian Deep Learning Workshop)

bssml

Bayesian (Semi-)Supervised Multilabel Learning

c2ae-multilabel-classification

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

calico

Code for ICCV2021 paper: Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images

cmg-project

Scripts used for the CMG reinforcement learning control project

coral

Correlation Alignment for Domain Adaptation

cvpr18-inaturalist-transfer

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

cvstem

Codes for designing ConVex Optimization-based Stochastic steady-state Tracking Error Minimization (CV-STEM) Control

deep-learning-tensorflow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

deeplearningimplementations

Implementation of recent Deep Learning papers

deeplearningtutorials

Deep Learning Tutorial notes and code. See the wiki for more info.

domain-adaptation-toolbox

Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms

embedding_zero-shot-learning

face2face-demo

pix2pix demo that learns from facial landmarks and translates this into a face

face_recognition

The world's simplest facial recognition api for Python and the command line

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fbnn

Code for "Functional variational Bayesian neural networks" (https://arxiv.org/abs/1903.05779)

from-virtual-to-reality

From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains

gm_phd_filter

GM-PHD filter in target tracking

handful-of-trials

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

hiecoattenvqa

hierse

Zero-shot image tagging by hierarchical semantic embedding

infersent

Sentence embeddings (InferSent) and training code for NLI.

jdot

Joint distribution optimal transportation for domain adaptation

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.