ml-lab,github

dextr-pytorch

Deep Extreme Cut http://www.vision.ee.ethz.ch/~cvlsegmentation/dextr

dfa-torch

Training neural networks with back-prop, feedback-alignment and direct feedback-alignment

dfi-tensorflow

Implementation of Deep Feature Interpolation in Tensorflow using a VGG19 model

The repository that contains the algorithms for generating domain names, dictionaries of malicious domain names. Developed to research the possibility of applying machine learning and neural networks to detect and classify malicious domains.

dgc-net-site

Project page: DGC-Net: Dense geometric correspondence network

dgd_person_reid

Domain Guided Dropout for Person Re-identification

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

dgp

Rethinking Knowledge Graph Propagation for Zero-Shot Learning, in CVPR 2019

dhp

This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".

dialog-generation-paper

A list of recent papers regarding dialogue generation

dialogpt

Large-scale pretraining for dialogue

dialogue-state-induction

Code for "Dialogue State Induction Using Neural Latent Variable Models"

dib-r

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)

dice

Joint estimate of demography and contamination for nuclear ancient DNA

dice-1

Generate Diverse Counterfactual Explanations for any machine learning model.

dice-configuration-bo4co

Configuration Optimization Tool for Big Data Systems

difacto

Distributed Factorization Machines

differentiable-frechet-mean

[ICML 2020] Differentiating through the Fréchet Mean (https://arxiv.org/abs/2003.00335).

differentiable-particle-filters

Source code and data for the paper "Differentiable Particle Filters: End-to-End Learning with Algorithmic Priors"

differentiable-plasticity

Implementations of the algorithms described in Differentiable plasticity: training plastic networks with gradient descent, a research paper from Uber AI Labs.