diva

DIVA project repository

diva_work

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

diw

Code for the paper "Rethinking Importance Weighting for Deep Learning under Distribution Shift".

django-poll-app

A solution to https://docs.djangoproject.com/en/dev/intro/tutorial01/

dlaicourse

Notebooks for learning deep learning

dlrm

An implementation of a deep learning recommendation model (DLRM)

dlrm-flexflow

Development repository for integrating FlexFlow (A distributed deep learning framework that supports flexible parallelization strategies) with DLRM (Deep Learning Recommendation Model)

dm-haiku

JAX-based neural network library

dm_control

The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.

dm_env

A Python interface for reinforcement learning environments

dmn_plus

Dynamic memory network tensorflow tf.data tf.estimator

dnc

A TensorFlow implementation of the Differentiable Neural Computer.

dnn-speech-enhancement-demo-tool

Universal Deep neural network based speech enhancement demo and tools, well pre-trained DNN model

dns-challenge

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

dock

docker-containers

Docker images for fastai

docker-provider

Azure Monitor for Containers

dont-stop-pretraining

Code associated with the Don't Stop Pretraining ACL 2020 paper

double_base_number_system_parallel_adder

Double base number system (DBNS) is an alternative number system besides the binary system. Its representation is similar to the radix number system together with two bases, usually be two and three. DBNS preserves the two important properties: redundancy and sparseness. The redundancy is the property accommodating with the parallelism. In this research, we are interested in parallel addition algorithm on DBNS. Our theoretical result shows that parallel addition in DBNS can be performed. An addition algorithm together with the proof of correctness is described in this paper. In generally, we study the generalization form of DBNS addition algorithms in any sizes.

dove

A Deep-learning based dOcking decoy eValuation mEthod

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dp-llm

dpfe

Implementation of "Deep Private-Feature Extraction (DPFE)"

dpmpn

dqn

Lua/Torch implementation of DQN (Nature, 2015)

dronamaps.com

DronaMaps | centimeter level accurate 3D mapping using drones, at your fingertips!

dsprites-dataset

Dataset to assess the disentanglement properties of unsupervised learning methods

dstc-noesis

dstc7-noesis

dstc10-mod

DSTC10 Track1 - MOD: Internet Meme Incorporated Open-domain Dialog