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dataset

The Open Images dataset

dataset-distillation

Dataset Distillation

dataset_loaders

A collection of dataset loaders

dataset_synthesizer

NVIDIA Deep learning Dataset Synthesizer (NDDS)

datasetfetch

datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

datasets-1

🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools

datasketch

MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble

datasmash

Data Smashing

datasynthesizer

db-gpt

Interact your data and environment using the local GPT, no data leaks, 100% privately, 100% security

dcgan-completion.tensorflow

Image Completion with Deep Learning in TensorFlow

dcgan-tensorflow

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

dcgan-tensorflow-1

A Tensorflow implementation of Deep Convolutional Generative Adversarial Networks.

dcgan.torch

A torch version implementation of http://arxiv.org/abs/1511.06434

dcgan_code

Deep Convolutional Generative Adversarial Networks

dcn.tf

Dynamic Capacity Networks using Tensorflow

dcnets

Implementation for <Decoupled Networks> in CVPR'18.

dcnn_textvae

TensorFlow implementation of "Improved Variational Autoencoders for Text Modeling using Dilated Convolutions"

dcnv2

Deformable Convolutional Networks v2 with Pytorch

dct_iccv-2019

This is the public repository for our accepted ICCV 2019 paper "Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild"

dd-net

A lightweight network for body/hand action recognition

ddc

Dance Dance Convolution dataset tools and models

ddd-downloader

The DDD downloader is a set of scripts to download the Databank Digitale Dagbladen from the National library of the Netherlands. It was created in 2011 by Daan Odijk at ILPS (University of Amsterdam).

ddi-100

Distorted Document Images dataset (DDI-100).

ddn

Deep Declarative Networks

ddpg

Implementation of DDPG (Modified from the work of Patrick Emami) - Tensorflow (no TFLearn dependency), Ornstein Uhlenbeck noise function, reward discounting, works on discrete & continuous action spaces

ddpg-1

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

ddpg-aigym

Continuous control with deep reinforcement learning - Deep Deterministic Policy Gradient (DDPG) algorithm implemented in OpenAI Gym environments

ddpg-keras-torcs

Using Keras and Deep Deterministic Policy Gradient to play TORCS