zzm422,github

d2l-en

Dive into Deep Learning: an interactive deep learning book with code, math, and discussions

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

dali

A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications

darknet

YOLOv4 (v3/v2) - Windows and Linux version of Darknet Neural Networks for object detection (Tensor Cores are used)

deblurganv2

[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

deep-learning

深度学习/人工智能/机器学习资料汇总(Deep Learning/Artificial Intelligent/Machine Learning) 持续更新……

deep-learning-papers-translation

深度学习论文翻译，包括分类论文，检测论文等

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-photo-styletransfer

Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511

deep-text-recognition-benchmark

Text recognition (optical character recognition) with deep learning methods.

deep_learning_object_detection

A paper list of object detection using deep learning.

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deeplearningimplementations

Implementation of recent Deep Learning papers

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deeppcb

A PCB defect dataset.

densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

densenet-keras

DenseNet Implementation in Keras with ImageNet Pretrained Models

densepose

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dewarpnet

Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

diou

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

dl_ofdm

Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex Convolutional Networks

dncnn

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

ds_cdma

Direct Sequence Code Division Multiple Access (DS-CDMA)

dsrg

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

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