ligangzheng Goto Github PK

deep-cross-modal-hashing

Deep learning cross modal hashing in PyTorch

deep-k-means-pytorch

Code for ICML 2018 paper 'Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions'

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deepfake

deephash-papers

Must-read papers on deep learning to hash (DeepHash)

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为17个章节，20多万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deepspectralclusteringtoy

PyTorch implementation of Deep Spectral Clustering paper on a toy dataset

diffusion-retrieval

Efficient Diffusion on Region Manifolds: Recovering Small Objects with Compact CNN Representations

dimensionality-driven-learning

Code for paper "Dimensionality-Driven Learning with Noisy Labels" - ICML 2018

dp-clustering-icml17

Differentially Private Clustering in High-Dimensional Euclidean Spaces

dscmr

Deep Supervised Cross-modal Retrieval (PyTorch Code)

dsdh-hashingcode

errnet

Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements (CVPR 2019)

forgery_localization_hled

Implementation of "Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image Forgeries" paper.

gan_tutorials

Various tutorials on GANs

gdan

Generative Dual Adversarial Network for Generalized Zero-shot Learning

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

hands-on-meta-learning-with-python

Hands-On Meta Learning with Python

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

hardnegative

hashgan

HashGAN: Deep Learning to Hash with Pair Conditional Wasserstein GAN

hashing-baseline-for-image-retrieval

:octocat:Various hashing methods for image retrieval and serves as the baselines

high-dynamic-range-imaging

Deep dive into high dynamic range imaging (a Matlab tutorial)

htx

High-Throughput eXplorer

icsc-hmm

Toolbox for IBP Coupled SPCM-CRP Hidden Markov Model. Also contains code for EM-based HMM learning and inference for Bayesian non-parametric HDP-HMM and IBP-HMM.

image-ndd-lsh

Near-duplicate image detection using Locality Sensitive Hashing

imagecolorization

Transferring Color to Greyscale Images

kd-tree-bff

使用matlab实现KD-TREE与BBF算法的结合

large-scale-ot-mapping-tf

Tensorflow Implementation of "Large-scale Optimal Transport and Mapping Estimation"(NIPS 2017 OTML)

lear-gist-python

A python wrapper for Lear's GIST implementation working with numpy