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deep-learning

Collection of deep learning resources.

deep-learning-coursera

This repository contains the programming assignments for Deep Learning specialization courses by Andrew Ng. It deals with the following concepts. DNNs, Hyperparameter tuning, Regularization, Optimization, CNNs (LeNet5, AlexNet, VGG, ResNet, Inception Network), Transfer Learning (Neural Style Transfer), RNNs (LSTM, GRU) and Structuring Machine Learning Projects.

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-techniques

deep-learning-with-keras-notebooks

Jupyter notebooks for using & learning Keras

deep-learning-with-python-notebooks

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

deepattention

Deep Visual Attention Prediction (TIP18)

deepcomplexcrn

deepembeddingmodel_zsl

Tensorflow code for CVPR 2017 paper: Learning a Deep Embedding Model for Zero-Shot Learning

deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deephash

An Open-Source Package for Deep Learning to Hash (DeepHash)

deephash-pytorch

Implementation of Some Deep Hash Algorithms, Including DPSH、DSH、DHN、HashNet、DSDH、DTSH、DFH、GreedyHash、CSQ.

deeplab-public

Working copy of Deeplab repository

deeplab_v2

deeplab v2 implementation using matconvnet

deeplabv2

Deep Lab Library for Semantic Segmentation using deep cnns and fully connected crfs

deeppyramid

Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)

deepretinalclassification

3-Class Retinal Classification via Deep Network Features and SVM Classifier (Academic Research Use)

deepsaldet

Source code for our CVPR 2015 work on saliency detection by multi-context deep learning

densecrf_matlab

A lightweight MATLAB wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

densenet

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

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。

dlssvm

Dual Linear Structed SVM

dropblock

Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.

dsmil-wsi

DSMIL: Multiple instance learning networks for tumor detection in Whole Slide Image

dss

code for "Deeply supervised salient object detection with short connections" published in CVPR 2017

dtf_fisher

Improved Dense Trajectory features encoded by Fisher Vectors

dualgan

DualGAN-tensorflow: tensorflow implementation of DualGAN

dwt

Deep Watershed Transform for Instance Segmentation

equivariant-transformers

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399